Auto-apply to these data science jobs

At MFS, you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters - to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures. THE ROLE The Data Science Lead Analyst will play a key role on our data science team, leveraging their experience to deliver impactful data-driven solutions for complex business challenges. With a foundation in data analysis and model development, you will work alongside a team of data scientists and business strategists, contributing to the development of data-driven solutions for business challenges. Your work will be user case oriented: you will take on responsibility for the end-to-end process of extracting insights from large datasets. You are expected to work collaboratively with cross-functional teams, as well as independently manage projects, to drive strategic decision-making and innovation. You will constructively discuss your results and potential findings with members of the team and the other MFS Business Units. WHAT YOU WILL DO Design and implement advanced statistical models and machine learning algorithms to solve specific business problems. Interpret and analyze data from multiple sources to provide actionable insights and recommendations. Collaborate with business strategists to understand their needs and provide data-driven guidance. Take initiative in identifying opportunities for data analytics to add value to the business. Ensure data quality and integrity throughout all processes. Effectively communicate findings to stakeholders through visualization and presentations, translating complex data into clear business terms. Mentor Associate Data Scientists and contribute to their professional development. Stay up-to-date with the latest trends and technologies in data science and machine learning to bring fresh ideas to the team and to the organization. WHAT WE ARE LOOKING FOR Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Operations Research, Engineering, Physics, or another quantitative discipline with 5-6 yrs experience, or Master's degree with 4 years of experience. Demonstrated proficiency in Python, SQL, and data visualization tools (such as Tableau, Power BI, or similar). Strong experience in cleaning, transforming, and visualizing large data sets. Proven ability to develop, test, and deploy predictive models and machine learning algorithms. Advanced understanding of a wide array of machine learning and statistical techniques, with a track record of choosing the right model for the right problem. Familiarity with big data technologies (such as Hadoop, Spark, or similar) and cloud computing services (AWS, Azure, GCP) is desirable. Strong analytical and quantitative problem-solving ability. Experience in effectively communicating complex analytical findings and conclusions to non-technical stakeholders, including the creation of clear and actionable reports. Demonstrated ability to work independently on complex projects with minimal supervision as well as collaboratively with a team. A history of driving projects to completion and contributing to the success of those projects. Ability to mentor and support Associate Data Scientists in their technical development. Commitment to continuous learning and staying current with industry trends and best practices in data science. #LI-JN1 #LI-HYBRID At MFS, we are dedicated to building a diverse, inclusive and authentic workplace. If you are excited about this role but your past experience doesn't align perfectly, we encourage you to apply - you might be just the right candidate for this role or others. What we offer: Generous time-off provided: including "Responsible time off" for many roles, paid company holidays when the US Stock Exchange is closed, plus paid volunteer time Family Focus: Up to 20 weeks of paid leave for new parents, back-up care program, dependent care flexible spending account, adoption assistance, generous caregiver leave Health and Welfare: Competitive medical, vision and dental plans, plus tax-free health savings accounts with company contributions Wellness Programs: Robust wellness webinars, employee assistance program, gym reimbursement through our medical plans, fitness center discounts and more Life & Disability Benefits: Company-paid basic life insurance and short-term disability Financial Benefits: 401(k) savings plan, Defined Contribution plan- 15% of base salary invested into the Plan, competitive total compensation programs MFS is a hybrid work environment (remote/onsite) unless otherwise stated in the job posting. If any applicant is unable to complete an application or respond to a job opening because of a disability, please contact MFS at 617-954-5000 or email talent_acquisition@mfs.com for assistance. MFS is an Equal Opportunity Employer and it is our policy to not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, marital status, sexual orientation, gender identity, genetic information, disability, veteran status, or any other status protected by federal, state or local laws. Employees and applicants of MFS will not be subject to harassment on the basis of their status. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited. Please see the Know Your Rights: Workplace Discrimination is Illegal document, linked for your reference.

Job Title: Adjunct Teaching- Computer Science- CS180 Introduction to Data Science Posting End Date: October 10, 2025 at 12:00 AM (MDT) *NOTE: Last day to apply is Thursday, October 9, 2025 Position Start Date: January 2, 2026 Required Degree: PhD or M.S. in Computer Science or a related field The required degree must be completed by the start date. Experience: The successful candidate will have a broad, interdisciplinary background in the field of data science, and how to derive insight from data. Duties/Expectations: The instructor will teach technical skills (including some python programming, statistics, linear algebra, machine learning, data cleaning and visualization) as well as data literacy (mental frameworks for decomposing data science problems, critical thinking about potential conclusions of an analysis, and potential pitfalls of overreliance on unreliable data). Documents Required at the Time of Application: Please attach your updated curriculum vitae and cover letter to the faculty application. Note: Failure to attach the required documents may result in your application not being considered. This position requires the successful candidate to relocate and/or reside in Utah for the duration of their employment. BYU Mission Alignment BYU is committed to hiring faculty members who enthusiastically embrace and energetically advance its unique mission. It is anticipated that BYU faculty members will: (1) live a life of loyalty to Jesus Christ and His restored Church and align yourself with doctrines and teachings declared by living prophets, seers, and revelators; (2) demonstrate intentionality in building faith in Jesus Christ and testimony of His restored gospel among students and others in the BYU community; and (3) teach your subject matter with the Spirit of God and strive to keep it "bathed in the light and color of the restored gospel" (Spencer W. Kimball). E mployment Requirements All new employees who are members of The Church of Jesus Christ of Latter-day Saints will be required to hold and be worthy to hold a current temple recommend. All employees are required to abide by the university's Honor Code and Dress & Grooming Standards. Preference is given to qualified candidates who are members in good standing of the affiliated church, The Church of Jesus Christ of Latter-day Saints. Successful candidates are expected to support and contribute to the academic and religious missions of the university within the context of the principles and doctrines of the affiliated church. Equal Opportunity Brigham Young University is an equal opportunity employer, including disability and protected veteran status.

Who are we, and what do we do? At Corteva Agriscience , you will help us grow what’s next. No matter your role, you will be part of a team that is building the future of agriculture – leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind. Corteva AgriscienceTM is seeking students for full-time internships within our research and development organization in Indianapolis, IN or Johnston, Iowa. We offer students the opportunity to work closely with a senior scientist in an industrial setting, and the students will have extensive opportunities to network across the company. It is desirable that students have past practical experience in a research environment generating data and have relevant computer skills. Students are encouraged to be creative and take initiative, where appropriate, while working with their supervisor. Students are expected to always operate in a safe and efficient manner. Essential to this internship are interpersonal, organizational, communication, teamwork, and time management skills. What You’ll Do: Participate in all phases of research including planning, preparation, calibration, application, evaluation, and analysis with supervisor. Work in a safe manner and embody Corteva’s safety culture. Demonstrate independent and creative thinking by making novel observations, interpreting data, and drawing sound scientific conclusions. Present project reviews throughout the summer and a final poster before colleagues and peers. What Skills You Need: Internships are available to students that are currently pursuing a Bachelors, Masters, or Doctorate degree in a relevant discipline. Students must have completed at least two years of undergraduate work before the start of the internship. GPA of 3.0 or better Must be able to relocate to Indianapolis, IN or Johnston, Iowa for the duration of the internship. Must be able to work full-time (40 hours per week) for a 6 month period Questions for all Disciplines : What level of degree are you pursuing and in what discipline? When do you expect to graduate? Do you have any agricultural related experience? If so, what is it? Do you have any research experience? If so, in what disciplines? Please list scientific/technical organization memberships and leadership positions, if any. Please list scientific or academic awards, if any. Discipline Specifics: Computer Science / Data Science Students will work on one of many computer science-based projects including automation, software engineering, information science, machine learning, database building and visualization, statistics , geospatial analysis, and /or mathematical modeling. Students will e ngage with business users to gather requirements and use cases. Explore and implement AI capabilities within internal tools. Students will automate and improve admin processes (e.g., data quality checks, process automation). Students will p ilot machine learning use cases to improve efficiency. Students will work on data-related projects (e.g., chatbot improvements, dashboard building and enhancements). Student s may work with geographic information systems (GIS) to develop new data products and conduct assessments Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws. Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

Brandeis University's Rabb School of Continuing and Professional Studies is seeking a part-time Program Developer to lead the design and proposal development for a new Online Master of Science in Data Science. This graduate program will equip learners with advanced analytical, computational, and strategic skills to solve real-world problems across industries. The ideal candidate will bring expertise in data science, curriculum design, market analysis, and online program development. This role is central to building a rigorous, market-aligned program that reflects Brandeis University's academic standards and commitment to innovation in graduate education. Key Responsibilities: Market Research and Needs Assessment Conduct a comprehensive market analysis to assess demand for graduate-level data science education. Identify emerging roles in AI, machine learning, data engineering, and analytics across sectors such as healthcare, finance, government, and tech. Benchmark peer and competitor programs to identify gaps, differentiators, and opportunities for innovation. Translate findings into strategic recommendations for curriculum design and program positioning. Curriculum Design and Development Collaborate with faculty, instructional designers, and industry experts to develop a modular, outcomes-driven curriculum. Integrate core topics such as statistical modeling, machine learning, data visualization, cloud computing, and ethical AI. Ensure alignment with accreditation standards and incorporate experiential learning and capstone components. Map course objectives to workforce competencies and employer expectations. Program Proposal Development Lead the drafting and submission of a formal program proposal, including all documentation required for Brandeis University's internal review and approval. Develop a clear implementation roadmap, with milestones for curriculum development, faculty onboarding, and program launch. Coordinate with academic and administrative stakeholders to ensure alignment with institutional goals and quality standards. Include a modular academic structure in the proposal that comprises: One master's degree program designed to address high-demand workforce competencies Two master's certificates that draw from the degree curriculum and offer targeted, stackable credentials aligned with employer needs Three micro-credentials focused on discrete, skill-based outcomes that reflect both the scope of the degree and specific workforce priorities Budget Development Prepare a comprehensive budget that supports program development, including instructional design, technology integration, marketing, and faculty recruitment. Identify potential funding sources, industry partnerships, or grant opportunities to support long-term program sustainability. Advisory Council Formation Establish an advisory council of data science leaders, statisticians, and industry experts to guide program relevance and innovation. Leverage the council's insights to ensure the curriculum reflects current tools, methodologies, and employer expectations. Engage the council in shaping capstone experiences, mentorship opportunities, and external collaborations. Qualifications: Master's degree or higher in Statistics, Data Science, Computer Science, Applied Mathematics, or a related field. Experience in higher education program development, curriculum design, or instructional design-preferably in an online format. Deep understanding of data science industry trends, workforce demands, and applied analytics across sectors. Proven ability to conduct market research and translate findings into actionable program strategies. Strong communication, project management, and organizational skills. Experience managing budgets and working with advisory councils is a plus. Employment Details: This is a part-time term position with flexible hours. The anticipated duration of this appointment is approximately one to one and a half months, commencing on the start date and concluding with the submission of the program proposal. Subject to the program's development and institutional needs, continued engagement may be considered through a final potential end date of March 15, 2026. Compensation will be hourly-based, and aligned with the scope of work required to meet the program development benchmarks by the expected deadlines: Market Research and Needs Assessment Curriculum Design and Development Program Proposal Submission Budget Planning Advisory Council Formation Equal Opportunity Statement Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class")

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. The OpportunityAs a Cloud Engineering, Data & Analytics - Data Science professional, you will engage in the dynamic world of data analysis, leveraging your skills to transform complex data into actionable insights. This role involves working closely with clients to understand their needs and deliver data-driven solutions that enhance decision-making processes. You will be at the forefront of utilizing advanced data analytics tools and techniques to uncover trends and opportunities within financial markets.As an Associate, you will focus on learning and contributing to client engagements while developing your skills and knowledge to deliver quality work. You will be exposed to clients, learning how to build meaningful connections, manage projects, and inspire others. This role encourages you to embrace challenges as opportunities for growth, enhancing your personal brand and technical knowledge.In this role, you will be part of a team that supports the Data and Analytics group, where you will apply your skills in data modeling, machine learning, and statistical analysis to deliver impactful solutions. Your contributions will be vital in helping clients navigate complex data landscapes and data integrity, and driving business success through informed decision-making.Responsibilities- Conducting complex data analysis to extract meaningful insights and support decision-making processes- Developing algorithms and predictive models using machine learning techniques to enhance data-driven insights- Utilizing Python and statistical analysis software for data modeling and validation tasks- Building and maintaining data pipelines to ensure seamless data integration and management- Creating interactive dashboards and visualizations using Power BI and Tableau to communicate data findings effectively- Collaborating with teams to conduct analytic research and customer analysis for business improvement- Implementing data security measures to protect sensitive information and maintain data integrity- Engaging in exploratory data analysis to identify trends and patterns within large datasets- Supporting client engagements by applying business data analytics techniques to address specific needsWhat You Must Have- Currently pursuing or have completed a Bachelor's degree- Client service associate positions are entry-level roles intended for job seekers who are completing or have recently completed their final academic year of educational requirementsWhat Sets You Apart- Preference for one of the following field(s) of study: Management Information Systems, Information Technology, Computer Science, Data Analytics, Data Science, Statistics, Mathematics- Preference for a 3.3 overall GPA- Demonstrating proficiency in Python and machine learning- Utilizing Power BI and Tableau for data visualization- Conducting complex data analysis and predictive analytics- Developing data-driven insights for client support- Engaging in algorithm development and data modeling- Excelling in data security and validation techniques-Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-workPwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.The salary range for this position is: $61,000 - $100,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Brisbane, California, United States of America, Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Sr Director, R&D Data Science - Head of Data Strategy & Products – TA F ocus . This position has a primary location of Titusville, NJ but is also open to Spring House, PA; Cambridge, MA; San Francisco, CA or Zug, Switzerland . The position requires 25% travel. Zug, Switzerland Requisition : Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary: The “Head of Data Strategy & Products – TA Focus ” leads development of Data Strategy and the strategy, design, and delivery of user-centric, reusable data products that enable delivery of Data Science and AI solutions for TA Discovery and drug development . This leader will be m anaging 3 specialized sub-teams : Data Strategy & Products for Oncology TA, Data Strategy & Products for Immunology TA , and Data Strategy & Products for Neuroscience TA . T his leader will be implementing use cases to unify data across domains, scale semantic/knowledge and embedding services, and institutionalize data governance. This role establishes the productization of high-value data assets across TA s focusing on internal and external data sources ( e.g. performance data, competitor information etc.) and RWE. Head of Data Strategy & Products – TA Focus works in close collaboration with Data Science TA teams . A core responsibility includes developing a TA Ontology as the semantic backbone of TA data, aligned with the broader strategy of integration of R&D data landscape. The ontology serves as a foundational layer for data product standardization, reuse, and interoperability. T he Head of Data Strategy & Products – TA focuses on working in close collaboration with centralized Data Product Architecture & Governance , Knowledge Management functions. Seamless integration between data product structures and graph-based reasoning capabilities is jointly ensured. Beyond the close collaboration with the Data Product Architecture & Governance , Knowledge Management, Master Data Management, the following liaisons are critical for the success to establish a Data Strategy & Products function for TAs : Collaborates with the broader Data Science and Digital Health team Ensures alignment with the master data management team on shared entities e.g., clinical trial sites, studies etc. and controlled vocabulary e.g., indications, therapeutic areas etc. The Head of Data Strategy & Products – TAs plays a central role in driving awareness, engagement, and adoption of data products across TA Discovery, clinical development, operations, and adjacent functions. By fostering a culture of data literacy, trust, and self-service , the Head of Data Strategy & Products – TA ensures that data assets are not only built but embraced and sustained as enterprise capabilities. Key Responsibilities: Data Strateg y: Develop data strategy as an ongoing program of improvement, partnering with Data Science TA teams in aligning to business needs and priorities of TAs Data Product Strategy & Execution Defines and maintains a roadmap for data products supporting TAs Embeds product thinking, agile delivery, and FAIR data principles across the product lifecycle. Ontology & Semantic Modeling Leads the development and governance of a TA Ontology to enable semantic consistency across TA domains. Aligns the ontology with internal metadata standards and external frameworks Collaboration with Knowledge Management Contributes to shared governance of vocabularies, taxonomies, and semantic layers that enable knowledge reasoning, search, and graph-based automation. Team & Operating Model Leadership Builds and leads a cross-functional team. Establishes agile delivery processes, value tracking metrics, and product lifecycle governance. Value Realization & Communication Defines and tracks KPIs. Communicates product vision, roadmaps, and value realization to stakeholders. Qualifications: Education & Experience PhD or Masters degree in life sciences, informatics, natural sciences, data science, or related discipline. 1 0 + years in data platform/data engineering/governance leadership, with significant experience in pharma/biotech R&D or regulated domains. Strong business acumen in pharmaceutical and /or Data Science, drug discovery and data product development/data science solution space Track of records working with high throughput screening data, omics, chemical and biological data for building data science solutions at scale Prior leadership of multi-disciplinary teams and vendor/partner ecosystems Strong record of delivering business-critical data solutions. Experience in data product design and semantic modeling. Familiarity with ontological frameworks, metadata governance, and industry standards. Strong working experience with pre-clinical data, clinical data and real-world data is Track of record in building data strategy to making business impact Strong background in data analysis, solution development and architecture Excellent communication, interpersonal, and written skills. Energy, enthusiasm and drive to create a positive working relationship with the business and the team Experience in managing and leading a team, showing understanding of different cultures to achieve global business objectives Ability to multi-task, incorporating good organizational skills and flexibility, to prioritize work and deliver the maximum business value Ability to build strong networks across the business to develop sponsorship at all levels of the business Ability to influence and drive change in a complex organizational environment. Strong analytical and problem-solving skills, with the ability to assess and manage data-related risks. Leadership Competencies Strategic & Systems Thinking Operational Excellence Governance Mindset People & Culture Builder Outcome Orientation Risk & Compliance Stewardship Strategic Impact: Through this role, high-value data products are positioned as strategic enablers of insight, automation, and compliance across TAs . By embedding semantic rigor and aligning with industry-wide data harmonization efforts, the Head of Data Strategy & Products plays a central role in transforming how TAs t data is structured, shared, and used across the organization and beyond. Other : Travel – Less than 25% to conferences and key internal meetings Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $173,000 to $299,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS

We Are: At Data Society Group, we provide the highest quality, leading-edge, industry-tailored data and AI training and solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforce with the skills they need to achieve their goals and expand their impact. Data Society Group publishes CDO Magazine, the preeminent global publication for Data Officers. Our executive boards include industry leaders, engineers, and data scientists from across the world. We are empowering the workforce of the future, from data literacy for all employees to support for data engineers and data scientists to train up on the most complex AI solutions and Machine Learning skills. About the Role Are you passionate about teaching and sharing your real-world experience in data science and AI? Join Data Society as a part-time Data Science and Data Literacy Instructor and help professionals around the world gain the skills they need to transform their careers and industries. As an independent contractor, you’ll enjoy the flexibility to teach subjects you’re passionate about—on a schedule that fits your life—while being supported by a collaborative and communicative team. We maintain an active pool of contract instructors year-round, offering regular teaching opportunities. You’ll lead engaging, interactive sessions for professionals across industries and skill levels, helping them understand how to apply data science, machine learning, and AI in practical, impactful ways. Your role is not just to instruct, but to inspire—creating a positive and supportive learning environment where learners leave empowered and ready to act.We are specifically recruiting for a client engagement on-site in Dallas, TX. If you're in a commutable distance to the Dallas area, we'd love to speak with you! Key Responsibilities Deliver high-quality, engaging instruction to professional audiences through live online or in-person sessions. Prepare thoroughly for each course by reviewing and internalizing curriculum content. Use interactive, hands-on teaching methods to support different learning styles. Collaborate with instructional designers and fellow data scientists to continuously improve course content. Communicate student needs, feedback, and insights to internal teams to enhance the learning experience. Engage with students and client stakeholders to identify potential additional learning needs. What You Bring You’re not only a subject matter expert—you’re a passionate educator. You love simplifying complex topics and helping others build confidence in their abilities. You’re a great communicator, comfortable teaching adult learners in professional settings, including federal agencies and Fortune 500 companies. Minimum Qualifications: 2+ years of professional experience in a data-focused role. Proficiency in at least one of the following areas: R, Python, SQL Data Governance Artificial Intelligence / Machine Learning Cloud Infrastructure (Azure, AWS) Experience teaching or tutoring adult learners (online and/or in-person). Strong presentation and facilitation skills; confident teaching professionals and executives. Powered by JazzHR

Job Description: The Los Angeles Unified School District seeks qualified proposers to provide Data Science Services on behalf of the Information Technology Services. Responsibilities: Set up R Studio Workbench, Connect, and Package Manager on a Linux server. Manage libraries and versions. Write required security plan. Work with security to connect the server to Snowflake and other data sources. Provision server access to data scientists, including R Studio Server, sftp, and command line. Provide training and support to data scientists, including training on visualization packages like ggplot2, Quatro, and Shiny. Guide data scientists on how to use version control with GIT/Azure Devops. Resource must have at least three (3) years of experience in providing services as listed

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Intern/Trainee Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you will have the chance to work on a variety of assignments, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are encouraged to ask questions, take initiative, and produce quality work that adds value for our clients and contributes to our team’s success. During your time at the Firm, you start to establish your personal brand, paving the way to more opportunities. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. The OpportunityAs a Cloud Engineering, Data & Analytics - Data Science Intern, you will engage in a dynamic environment where you will support teams in delivering data-driven insights and solutions. This role offers a unique chance to immerse yourself in the world of data science, working alongside seasoned professionals to analyze complex datasets and contribute to impactful projects. As an Intern, you will focus on learning and gaining exposure to PwC's practices, supporting teams with basic tasks, and participating in projects that enhance your understanding of data analytics and its applications.In this role at PwC, you will have the opportunity to develop your skills in data modeling, financial data mining, and machine learning, while also gaining hands-on experience with tools like Python and statistical analysis software. You will be encouraged to ask questions, take initiative, and produce quality work that adds value to our clients and contributes to our team's success. This is an exciting opportunity to start building your personal brand and pave the way for future opportunities in the field of data science.Responsibilities- Supporting teams in data analysis and analytics projects to gain exposure to industry practices- Conducting research and gathering information to assist in the development of data-driven insights- Participating in algorithm development and machine learning initiatives to enhance predictive analytics capabilities- Utilizing tools such as Alteryx, Power BI, and Tableau for data visualization and complex data analysis- Assisting in data validation and data security processes to maintain data integrity- Engaging in customer analysis and business data analytics to inform strategic decision-making- Applying Python programming skills to develop and refine data models and statistical analysis- Collaborating with team members to create dashboards and reports that communicate key performance indicators and trendsWhat You Must Have- Currently pursuing or have completed a Bachelor's degree- Client service intern positions are entry-level roles intended for job seekers who are in their third year of a four-year degree program or fourth year of a five-year program at the time of application. Winter internships typically occur during the spring semester preceding the student's final year of school Summer internships typically take place during the summer preceding the student's final year of schoolWhat Sets You Apart- Preference for one of the following field(s) of study: Management Information Systems, Information Technology, Computer Science, Data Analytics, Data Science, Statistics, Mathematics- Preference for a 3.3 overall GPA- Demonstrating proficiency in Python for data analysis- Utilizing machine learning techniques for predictive analytics- Applying data visualization skills with Tableau and Power BI- Conducting complex data analysis to derive actionable insights- Developing algorithms to enhance data processing efficiency- Engaging in analytic research to support data-driven decisions-Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-workPwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.The salary range for this position is: $29.25 - $48.00. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Brisbane, California, United States of America, Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Sr Director, R&D Data Science - Head of Data Strategy & Products – TA F ocus . This position has a primary location of Titusville, NJ but is also open to Spring House, PA; Cambridge, MA; San Francisco, CA or Zug, Switzerland . The position requires 25% travel. Zug, Switzerland Requisition : Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary: The “Head of Data Strategy & Products – TA Focus ” leads development of Data Strategy and the strategy, design, and delivery of user-centric, reusable data products that enable delivery of Data Science and AI solutions for TA Discovery and drug development . This leader will be m anaging 3 specialized sub-teams : Data Strategy & Products for Oncology TA, Data Strategy & Products for Immunology TA , and Data Strategy & Products for Neuroscience TA . T his leader will be implementing use cases to unify data across domains, scale semantic/knowledge and embedding services, and institutionalize data governance. This role establishes the productization of high-value data assets across TA s focusing on internal and external data sources ( e.g. performance data, competitor information etc.) and RWE. Head of Data Strategy & Products – TA Focus works in close collaboration with Data Science TA teams . A core responsibility includes developing a TA Ontology as the semantic backbone of TA data, aligned with the broader strategy of integration of R&D data landscape. The ontology serves as a foundational layer for data product standardization, reuse, and interoperability. T he Head of Data Strategy & Products – TA focuses on working in close collaboration with centralized Data Product Architecture & Governance , Knowledge Management functions. Seamless integration between data product structures and graph-based reasoning capabilities is jointly ensured. Beyond the close collaboration with the Data Product Architecture & Governance , Knowledge Management, Master Data Management, the following liaisons are critical for the success to establish a Data Strategy & Products function for TAs : Collaborates with the broader Data Science and Digital Health team Ensures alignment with the master data management team on shared entities e.g., clinical trial sites, studies etc. and controlled vocabulary e.g., indications, therapeutic areas etc. The Head of Data Strategy & Products – TAs plays a central role in driving awareness, engagement, and adoption of data products across TA Discovery, clinical development, operations, and adjacent functions. By fostering a culture of data literacy, trust, and self-service , the Head of Data Strategy & Products – TA ensures that data assets are not only built but embraced and sustained as enterprise capabilities. Key Responsibilities: Data Strateg y: Develop data strategy as an ongoing program of improvement, partnering with Data Science TA teams in aligning to business needs and priorities of TAs Data Product Strategy & Execution Defines and maintains a roadmap for data products supporting TAs Embeds product thinking, agile delivery, and FAIR data principles across the product lifecycle. Ontology & Semantic Modeling Leads the development and governance of a TA Ontology to enable semantic consistency across TA domains. Aligns the ontology with internal metadata standards and external frameworks Collaboration with Knowledge Management Contributes to shared governance of vocabularies, taxonomies, and semantic layers that enable knowledge reasoning, search, and graph-based automation. Team & Operating Model Leadership Builds and leads a cross-functional team. Establishes agile delivery processes, value tracking metrics, and product lifecycle governance. Value Realization & Communication Defines and tracks KPIs. Communicates product vision, roadmaps, and value realization to stakeholders. Qualifications: Education & Experience PhD or Masters degree in life sciences, informatics, natural sciences, data science, or related discipline. 1 0 + years in data platform/data engineering/governance leadership, with significant experience in pharma/biotech R&D or regulated domains. Strong business acumen in pharmaceutical and /or Data Science, drug discovery and data product development/data science solution space Track of records working with high throughput screening data, omics, chemical and biological data for building data science solutions at scale Prior leadership of multi-disciplinary teams and vendor/partner ecosystems Strong record of delivering business-critical data solutions. Experience in data product design and semantic modeling. Familiarity with ontological frameworks, metadata governance, and industry standards. Strong working experience with pre-clinical data, clinical data and real-world data is Track of record in building data strategy to making business impact Strong background in data analysis, solution development and architecture Excellent communication, interpersonal, and written skills. Energy, enthusiasm and drive to create a positive working relationship with the business and the team Experience in managing and leading a team, showing understanding of different cultures to achieve global business objectives Ability to multi-task, incorporating good organizational skills and flexibility, to prioritize work and deliver the maximum business value Ability to build strong networks across the business to develop sponsorship at all levels of the business Ability to influence and drive change in a complex organizational environment. Strong analytical and problem-solving skills, with the ability to assess and manage data-related risks. Leadership Competencies Strategic & Systems Thinking Operational Excellence Governance Mindset People & Culture Builder Outcome Orientation Risk & Compliance Stewardship Strategic Impact: Through this role, high-value data products are positioned as strategic enablers of insight, automation, and compliance across TAs . By embedding semantic rigor and aligning with industry-wide data harmonization efforts, the Head of Data Strategy & Products plays a central role in transforming how TAs t data is structured, shared, and used across the organization and beyond. Other : Travel – Less than 25% to conferences and key internal meetings Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $173,000 to $299,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Director, R&D Data Science, Data Products – Oncology. This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA . The position will require up to 25% travel. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary The Director, Data Products – Oncology is responsible for leading the strategy, design, and delivery of user-centric, reusable data products that enable advanced analytics, data science, and AI/ML solutions across the Oncology Therapeutic Area (TA). This role ensures that high-value internal and external Oncology data assets—including preclinical, translational, clinical, competitive intelligence, and real-world data (RWD/RWE)—are standardized, productized, and integrated into Janssen’s enterprise R&D data ecosystem. Working closely with Data Science teams, Oncology TA scientific leaders, and the broader Data Strategy & Products organization, this leader ensures that Oncology data products fill business requirements, such as being AI ready, semantically consistent, and interoperable, enabling faster discovery, stronger evidence generation, and better regulatory outcomes. Key Responsibilities Data Product Strategy & Execution Lead a team to develop technical requirements for Oncology-facing data products. Define and maintain a roadmap for Oncology data products, spanning discovery, translational research, clinical development, and real-world evidence. Develop data products through , agile delivery, and FAIR data principles to ensure products are scalable, interoperable, and reusable across Janssen and partner functions. Deliverintegration of internal and external Oncology data sources (e.g., clinical trial data, genomics/omics, competitor intelligence, registry and RWE datasets). Ontology & Semantic Modeling Contribute to the development and governance of an Oncology Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data. Align Oncology Ontology with enterprise metadata standards and external frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure Oncology data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs. Collaborate with Oncology Data Science , clinical, translational, and commercial Oncology stakeholders to co-create solutions that maximize the value of Oncology data assets. Interface with regulatory and compliance teams to ensure Oncology data products meet global standards. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Oncology datadomain expertsaimed at delivering data products to Oncology. Establish and implement governance models, agile delivery processes, and value-tracking metrics for Oncology data products. Value Realization & Communication Define and track KPIs to measure the impact of Oncology data products on scientific insights, trial efficiency, and regulatory outcomes. Communicate vision, roadmap, and value realization to Oncology leadership, data science teams, and executive stakeholders. Champion data literacy and adoption within the Oncology TA. Strategic Impact The Director, Data Strategy & Products – Oncology TA is responsible to ensure Oncology data is transformed into trusted, AI-ready products that accelerate discovery, improve trial design and execution, and strengthen regulatory readiness. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Oncology data as a strategic asset that drives scientific innovation and patient impact across Janssen R&D. Qualifications Education PhD or Master’s in informatics, computer science, life sciencesor related discipline. Skills & Expertise 8+ years of experience in pharma/biotech R&D with a focus on data product development and delivery, or data science. A focus on Oncology is a plus. Strong track record in data product development, data integration, or semantic modeling within a TA or domain-specific context. Experience working with multi-modal Oncology data, including omics, imaging, translational, clinical trial, and RWE data. Deep knowledge of data products, database design, data transformation/mapping. Oncology research, clinical trial design, and regulatory data requirementsis a plus. Familiarity with metadata management, ontologies, knowledge graphs, and industry data standards (e.g., CDISC, GA4GH). Strong leadership, collaboration, and communication skills, with ability to translate technical strategy into business/science value. Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JRDDS #JNJDataScience #JNJIMRND-DS The anticipated base pay range for this position is : The anticipated base pay range for this position is $160,000 to $276,000 USD. Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Director, R&D Data Science, Data Products – Oncology. This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA . The position will require up to 25% travel. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary The Director, Data Products – Oncology is responsible for leading the strategy, design, and delivery of user-centric, reusable data products that enable advanced analytics, data science, and AI/ML solutions across the Oncology Therapeutic Area (TA). This role ensures that high-value internal and external Oncology data assets—including preclinical, translational, clinical, competitive intelligence, and real-world data (RWD/RWE)—are standardized, productized, and integrated into Janssen’s enterprise R&D data ecosystem. Working closely with Data Science teams, Oncology TA scientific leaders, and the broader Data Strategy & Products organization, this leader ensures that Oncology data products fill business requirements, such as being AI ready, semantically consistent, and interoperable, enabling faster discovery, stronger evidence generation, and better regulatory outcomes. Key Responsibilities Data Product Strategy & Execution Lead a team to develop technical requirements for Oncology-facing data products. Define and maintain a roadmap for Oncology data products, spanning discovery, translational research, clinical development, and real-world evidence. Develop data products through , agile delivery, and FAIR data principles to ensure products are scalable, interoperable, and reusable across Janssen and partner functions. Deliverintegration of internal and external Oncology data sources (e.g., clinical trial data, genomics/omics, competitor intelligence, registry and RWE datasets). Ontology & Semantic Modeling Contribute to the development and governance of an Oncology Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data. Align Oncology Ontology with enterprise metadata standards and external frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure Oncology data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs. Collaborate with Oncology Data Science , clinical, translational, and commercial Oncology stakeholders to co-create solutions that maximize the value of Oncology data assets. Interface with regulatory and compliance teams to ensure Oncology data products meet global standards. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Oncology datadomain expertsaimed at delivering data products to Oncology. Establish and implement governance models, agile delivery processes, and value-tracking metrics for Oncology data products. Value Realization & Communication Define and track KPIs to measure the impact of Oncology data products on scientific insights, trial efficiency, and regulatory outcomes. Communicate vision, roadmap, and value realization to Oncology leadership, data science teams, and executive stakeholders. Champion data literacy and adoption within the Oncology TA. Strategic Impact The Director, Data Strategy & Products – Oncology TA is responsible to ensure Oncology data is transformed into trusted, AI-ready products that accelerate discovery, improve trial design and execution, and strengthen regulatory readiness. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Oncology data as a strategic asset that drives scientific innovation and patient impact across Janssen R&D. Qualifications Education PhD or Master’s in informatics, computer science, life sciencesor related discipline. Skills & Expertise 8+ years of experience in pharma/biotech R&D with a focus on data product development and delivery, or data science. A focus on Oncology is a plus. Strong track record in data product development, data integration, or semantic modeling within a TA or domain-specific context. Experience working with multi-modal Oncology data, including omics, imaging, translational, clinical trial, and RWE data. Deep knowledge of data products, database design, data transformation/mapping. Oncology research, clinical trial design, and regulatory data requirementsis a plus. Familiarity with metadata management, ontologies, knowledge graphs, and industry data standards (e.g., CDISC, GA4GH). Strong leadership, collaboration, and communication skills, with ability to translate technical strategy into business/science value. Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JRDDS #JNJDataScience #JNJIMRND-DS The anticipated base pay range for this position is : The anticipated base pay range for this position is $160,000 to $276,000 USD. Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Director, R&D Data Science, Data Products – Neuroscience. This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA . The position will require up to 25% travel. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary The Director, Data Products – Neuroscienceis responsible for leading the strategy, design, and delivery of user-centric, reusable data products that enable advanced analytics, data science, and AI/ML solutions across the Neuroscience Therapeutic Area (TA). This role ensures that high-value internal and external Neuroscience data assets—including preclinical, translational, clinical, competitive intelligence, and real-world data (RWD/RWE)—are standardized, productized, and integrated into Janssen’s enterprise R&D data ecosystem. Working closely with Data Science teams, Neuroscience TA scientific leaders, and the broader Data Strategy & Products organization, this leader ensures that Neuroscience data products fill business requirements, such as being AI-ready, semantically consistent, and interoperable, enabling faster discovery, stronger evidence generation, and better regulatory outcomes. Key Responsibilities Data Product Strategy & Execution Lead a team to develop technical requirements for Neuroscience-facing data products Define and maintain a roadmap for Neuroscience data products, spanning discovery, translational research, clinical development, and real-world evidence. Develop data products through , agile delivery, and FAIR data principles to ensure products are scalable, interoperable, and reusable across Janssen and partner functions. Deliverintegration of internal and external Neuroscience data sources (e.g., clinical trial data, genomics/omics, competitor intelligence, registry and RWE datasets). Ontology & Semantic Modeling Contribute to the development and governance of a Neuroscience Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data. Align Neuroscience Ontology with enterprise metadata standards and external frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure Neuroscience data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs. Collaborate with Neuroscience Data Science, clinical, translational, and commercial Neuroscience stakeholders to co-create solutions that maximize the value of Neuroscience data assets. Interface with regulatory and compliance teams to ensure Neuroscience data products meet global standards. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Neurosciencedata domain experts aimed at delivering data products to Neuroscience. Establish and implement governance models, agile delivery processes, and value-tracking metrics for Neuroscience data products. Value Realization & Communication Define and track KPIs to measure the impact of Neuroscience data products on scientific insights, trial efficiency, and regulatory outcomes. Communicate vision, roadmap, and value realization to Neuroscience leadership, data science teams, and executive stakeholders. Champion data literacy and adoption within the Neuroscience TA. Strategic Impact The Director, Data Strategy & Products – Neuroscience TA is responsible to ensure Neuroscience data is transformed into trusted, AI-ready products that accelerate discovery, improve trial design and execution, and strengthen regulatory readiness. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Neuroscience data as a strategic asset that drives scientific innovation and patient impact across Janssen R&D. Qualifications Education PhD or Master’s in informatics, computer science, life sciencesor related discipline. Skills & Expertise 8+ years of experience in pharma/biotech R&D with a focus ondata product development and delivery, or data science. A focus on Neuroscience is a plus. Strong track record in data product development, data integration, or semantic modeling within a TA or domain-specific context. Experience working with multi-modal Neuroscience data, including omics, imaging, translational, clinical trial, and RWE data. Deep knowledge of data products, database design, data transformation/mapping. Neuroscience research, clinical trial design, and regulatory data requirementsis a plus. Familiarity with metadata management, ontologies, knowledge graphs, and industry data standards (e.g., CDISC, GA4GH). Strong leadership, collaboration, and communication skills, with ability to translate technical strategy into business/science value. Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JRDDS #JNJDataScience #JNJIMRND-DS The anticipated base pay range for this position is : The anticipated base pay range for this position is $160,000 to $276,000 USD. Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

The Core Data Science team is at the center of data within Figma. With a charge to uplevel Figma's use of data, the team works alongside other Data Scientists and Engineering to identify ways to implement and democratize new statistical methods, build data frameworks, and incorporate data within Figma's product. In addition to enabling data practitioners, the team also supports the Infrastructure organization. The team contributes to the org's goals by collaborating closely with product managers, engineers, and our finance team to uncover inefficiencies in system and resource utilization; recommending architectural improvements through data-driven insights; and tying infrastructure investments directly to product performance and customer impact This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Lead, support, and grow a team of data scientists with varied strengths and expertise focused on internal tooling, machine learning enablement, and support our Infrastructure organization Guide development of new and sophisticated applications of data Champion data quality, accessibility, and the democratization of data across the company Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact We'd love to hear from you if you have: 3+ years of experience managing and leading high output data science teams 5+ years of experience working in of experience in Analytics, Data Science, or a related field Strong foundation in statistical methods, experimentation, and/or forecasting Technical curiosity - you should be ready to learn and grow alongside your team A desire to build an inclusive and diverse culture Experience scaling teams in high-growth environments While not required, it's an added plus if you also have: Experience with ML or Security Data Science At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Sr Director, R&D Data Science - Head, Data Products & Governance . This position has a primary location of Titusville, NJ but is also open to Spring House, PA, or Cambridge, MA. The position will require 25% travel. At J&J IM, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found. J&J IM provides medicines for an array of health concerns in several therapeutic areas, including Oncology, Immunology, Neuroscience and Cardiovascular & Metabolism. Please visit Please visit https://innovativemedicine.jnj.com/ for more information. for more information. Job Summary The Sr. Director, Data Products & Governance leads the enterprise data foundation that powers J&J’s R&D—from Discovery and Translational through Development, Clinical, and Regulatory. This leader will build and operate the R&D data platform and governance program , develop the operating model, reusable data products (pipelines, features, embeddings), and deliver the controls, lineage, and catalog capabilities that make R&D data trusted, compliant, and AI-ready, while protecting J&J’s proprietary advantage. Managing specialized sub-teams (Data Governance; Solutions Architecture; Vector Data Engineering; Data Integrations & Engineering; Annotation & Cataloging; Compliance), this leader will unify data across domains, scale semantic/knowledge and embedding services, and institutionalize data governance. Key Responsibilities Provide thought leadership, management, and execution of strategic initiatives aimed at integration of data assets across the R&D Data Landscape Establish a strong data governance framework and culture to ensure data integrity, quality, and compliance. Partner with JJIT to map and integrate internal and relevant external data sources in the broader R&D data ecosystem (including Discovery, Development, Regulatory and T A s) into a unified architecture while protecting J&J’s proprietary data Make broader R&D data “AI-ready” through robust data engineering, standardization, and annotation ( e.g. using consistent ontologies and data models ) Create a sustainable pipeline of data-driven use cases with clear value, prioritized in line with strategic R&D priorities. Build the organizational capabilities (people, process, technology) needed to govern and scale this data strategy across the enterprise Communicate progress, challenges, and achievements to executive leadership. Offer actionable insights and recommendations to inform strategic decision-making and continuous improvement. Partner with JJT and technology stakeholders to evaluate and select cutting-edge solutions supporting Data Platform initiatives and processes. Strategic Impact Accelerate Portfolio Decisions: Shorten the “data-to-insight” cycle by delivering governed, reusable data products, features, and embeddings that enable rapid modeling and evidence generation Scale Advanced Data Readiness: Industrialize vector stores, knowledge graphs, and annotation pipelines to power semantic search and retrieval-augmented analytics across TAs. Unify the R&D Data Landscape: Establish a common semantic layer, ontologies, and master/reference data so Discovery, Development, Clinical, and Regulatory data interoperate. Qualifications Master’s or PhD in information management, Computer Science, Business Administration, or related field 12+ years in data platform/data engineering/governance leadership, with significant experience in pharma/biotech R&D or regulated domains. Prior leadership of multi-disciplinary teams and vendor/partner ecosystems Proven ownership of enterprise-scale data platforms and governance programs (federated models, stewardship, policy, and quality). Expertise in modern data architectures (lake/ lakehouse /data fabric or mesh), ETL/ELT & streaming, APIs, DataOps /automation, lineage/observability. Demonstrated experience with ontologies/metadata, master/reference data, and catalog tools. Strong grasp of GxP concepts and compliance frameworks (21 CFR Part 11/Annex 11), HIPAA/GDPR, de-identification, retention/archival. Exceptional stakeholder management and executive communication skills; Ability to influence and drive change in a complex organizational environment. Strong analytical and problem-solving skills, with the ability to assess and manage data-related risks. Leadership Competencies Strategic & Systems Thinking Operational Excellence Governance Mindset People & Culture Builder Outcome Orientation Risk & Compliance Stewardship Other : Travel – Less than 25% to conferences and key internal meetings Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $173,000 to $299,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS The anticipated base pay range for this position is : Additional Description for Pay Transparency:

Spektrum have a wide range of exciting opportunities in several global locations. We are always looking to add great new talent to our team and look forward to hearing from you. Spektrum supports apex purchasers (NATO, UN, EU and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects. Who we are supporting Allied Command Transformation (ACT) is NATO’s leading agent for change: driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance the military relevance and effectiveness of the Alliance. The main objectives of ACT are: providing appropriate support to NATO missions and operations; leading NATO military transformation; and improving relationships, interaction and practical cooperation with partners, nations and international organisations. ACT therefore leads Alliance concept development, capability development, training and lessons-learned initiatives and provides unfettered military support to policy development within NATO. The program Capability Development & Management Support (CDMS) DCOS Capability Development (CAPDEV) acts as the Supreme Allied Commander Transformation's Director for guidance, direction and coordination of the activities and resources of the Capability Development Directorate. The Requirements Division will execute all tasks and activities needed to support requirements management for NATO capabilities The Capability Requirements (CR) Branch will develop the Capability Requirements Brief and recommended courses of action to resolve issues through the life cycle management of requirements using matrixed, cross-functional project-specific Requirements Management teams. The Requirements Forward Branch (Mons) is responsible for conducting requirements development and management representation and engagement-related functions in Europe. The Capability Division coordinates the development of capabilities from capability planning through acceptance and then disposal with management entities, NATO Headquarters staff and the NATO Governance Structure The Capability Forward Branch (Mons) coordinates with ACO, NCIA, NSPA, NATO HQ, territorial Host Nations, and NATO Centres of Excellence (COEs) to support the development of capabilities. Strategic Plans and Policy (SPP) supports Allied Command Transformation in formalizing military advice to shape future military strategy, political guidance, and other policy documents supporting NATO’s strategic objectives. Role Duties and Responsibilities As a member of the Data Science & Artificial Intelligence (DSAI) Branch, responsible to the Section Head/COTR, the contractor will contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and for the NATO Enterprise, particularly in the context of the ongoing implementation of the Data Exploitation Framework and Programme. Identifies, contributes to, and implements machine learning (ML)/AI initiatives across HQ SACT and the NATO Enterprise with suggestions for ML approaches and implementation, including the processing of training data and performance assessment of machine learning techniques on datasets. Applies existing data science techniques to new problems and datasets using specialized programming techniques to meet the needs of the project and customer. Evaluates the outcomes and performance of data science models. Identifies and implements opportunities to train and improve models and the data they use. Publishes and reports on machine learning model outputs to meet customer needs and conform to agreed standards. Utilizes in-depth knowledge of NLP, ML applications, or computer vision. Demonstrates experience with Generative AI. Supports review of data science and AI activities, processes, products, or services. Collaborates with other data professionals (such as data scientists, data and information managers, data engineers), software engineers, and SMEs from different functional areas, branches, and directorates within HQ SACT or NATO entities, as directed, for example in support of the ACT Innovation Branch. Provides subject matter expertise to (military and civilian) staff within HQ SACT or the NATO Enterprise and develops proofs of concept, as directed. Outreach support to internal and external communities that bring together DS & AI practitioners and consumers. This comprises, for example, TIDE Sprint, the NATO Data Science & AI Expert Network, or initiatives related to academia and industry. Contributes to the development of scientific studies. Assists with educational efforts and training development and execution as it relates to data, AI, or digital literacy. Remains current with new developments in data science and AI to bring innovative ideas into implementation. Supports building a data-driven culture that uses analytics to generate insights, improve decision-making at all levels, inform strategy and policy decisions, and enhance performance. Performs additional tasks as required by the COTR related to the LABOR category. Essential Skills and Experience Proven work experience as a Data Scientist, AI/ML Engineer, or a similar role in the last four years. Experience in modern software architecture and software development related to data science, analytics, and AI, e.g., Python, SQL, R. Experience with machine learning and AI frameworks, using e.g., TensorFlow, PyTorch, scikit-learn, or other modern machine learning frameworks. Experience with planning, executing, and maintaining data science pipelines. Experience visualizing data and producing high-quality graphs and reports, charts, and interactive dashboards using tools such as Tableau, MS Power BI, Kibana. Proven understanding of data security and privacy issues, particularly in international or military environments, to ensure compliance with NATO standards for protecting sensitive information Experience in providing training in various areas related to data science, analytics, and AI at different technical levels. Portfolio of demonstrable products available via GitLab, or other platforms. Ability to work in a cloud environment, particularly Microsoft Azure or Amazon Web Services. Working experience in an international environment with both military and civilian elements. Proven ability to communicate effectively orally and in writing, with excellent briefing skills. Working experience in data science and AI related outreach activities, such as working with academia and industry, hackathons, or maintaining AI expert and practitioner networks. Demonstrated experience working at NATO or extensive familiarity with NATO processes, culture, and organizational structures. Desirable Qualifications Experience working within a Big Data ecosystem, with tools such as Databricks, Spark, etc. Experience working with open source and publicly available data. Experienced ‘data storyteller,’ capable of presenting findings and insights effectively to non-technical audiences. Experience working on a military staff. Familiarity with federated learning methodologies to support secure collaboration and data sharing across NATO nations while maintaining sovereignty of sensitive datasets Knowledge of NATO organization and its functions. Experience in project management, including agile methods and tools. Additional language skills, particularly those of NATO partner and member states, are advantageous. Eligibility and past experience working with NATO security clearance requirements to access and process classified or sensitive data. Education A Bachelor’s degree or higher at a nationally recognized/certified university in Data Science, Data Analytics, AI engineering, or a related discipline such as Mathematics, Physics, Computer Science, Software Engineering OR four years minimum professional experience in the area of Data Science, including providing analysis and advice in the field of data science, within the last five years. Language Proficiency Advanced Proficiency in English Working Location Norfolk, VA, USA Working Policy On-Site Contract Duration January 2026 – December 2030 Security Clearance Valid National or NATO Secret personal security clearance We never know what new opportunities might be just over the horizon. If this opportunity isn't for you please feel free to send us your resume anyway and be the first to know if something suitable for your skills and experience comes up.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Sr Director, R&D Data Science - Head, Data Products & Governance . This position has a primary location of Titusville, NJ but is also open to Spring House, PA, or Cambridge, MA. The position will require 25% travel. At J&J IM, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found. J&J IM provides medicines for an array of health concerns in several therapeutic areas, including Oncology, Immunology, Neuroscience and Cardiovascular & Metabolism. Please visit Please visit https://innovativemedicine.jnj.com/ for more information. for more information. Job Summary The Sr. Director, Data Products & Governance leads the enterprise data foundation that powers J&J’s R&D—from Discovery and Translational through Development, Clinical, and Regulatory. This leader will build and operate the R&D data platform and governance program , develop the operating model, reusable data products (pipelines, features, embeddings), and deliver the controls, lineage, and catalog capabilities that make R&D data trusted, compliant, and AI-ready, while protecting J&J’s proprietary advantage. Managing specialized sub-teams (Data Governance; Solutions Architecture; Vector Data Engineering; Data Integrations & Engineering; Annotation & Cataloging; Compliance), this leader will unify data across domains, scale semantic/knowledge and embedding services, and institutionalize data governance. Key Responsibilities Provide thought leadership, management, and execution of strategic initiatives aimed at integration of data assets across the R&D Data Landscape Establish a strong data governance framework and culture to ensure data integrity, quality, and compliance. Partner with JJIT to map and integrate internal and relevant external data sources in the broader R&D data ecosystem (including Discovery, Development, Regulatory and T A s) into a unified architecture while protecting J&J’s proprietary data Make broader R&D data “AI-ready” through robust data engineering, standardization, and annotation ( e.g. using consistent ontologies and data models ) Create a sustainable pipeline of data-driven use cases with clear value, prioritized in line with strategic R&D priorities. Build the organizational capabilities (people, process, technology) needed to govern and scale this data strategy across the enterprise Communicate progress, challenges, and achievements to executive leadership. Offer actionable insights and recommendations to inform strategic decision-making and continuous improvement. Partner with JJT and technology stakeholders to evaluate and select cutting-edge solutions supporting Data Platform initiatives and processes. Strategic Impact Accelerate Portfolio Decisions: Shorten the “data-to-insight” cycle by delivering governed, reusable data products, features, and embeddings that enable rapid modeling and evidence generation Scale Advanced Data Readiness: Industrialize vector stores, knowledge graphs, and annotation pipelines to power semantic search and retrieval-augmented analytics across TAs. Unify the R&D Data Landscape: Establish a common semantic layer, ontologies, and master/reference data so Discovery, Development, Clinical, and Regulatory data interoperate. Qualifications Master’s or PhD in information management, Computer Science, Business Administration, or related field 12+ years in data platform/data engineering/governance leadership, with significant experience in pharma/biotech R&D or regulated domains. Prior leadership of multi-disciplinary teams and vendor/partner ecosystems Proven ownership of enterprise-scale data platforms and governance programs (federated models, stewardship, policy, and quality). Expertise in modern data architectures (lake/ lakehouse /data fabric or mesh), ETL/ELT & streaming, APIs, DataOps /automation, lineage/observability. Demonstrated experience with ontologies/metadata, master/reference data, and catalog tools. Strong grasp of GxP concepts and compliance frameworks (21 CFR Part 11/Annex 11), HIPAA/GDPR, de-identification, retention/archival. Exceptional stakeholder management and executive communication skills; Ability to influence and drive change in a complex organizational environment. Strong analytical and problem-solving skills, with the ability to assess and manage data-related risks. Leadership Competencies Strategic & Systems Thinking Operational Excellence Governance Mindset People & Culture Builder Outcome Orientation Risk & Compliance Stewardship Other : Travel – Less than 25% to conferences and key internal meetings Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $173,000 to $299,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS The anticipated base pay range for this position is : Additional Description for Pay Transparency:

Spektrum have a wide range of exciting opportunities in several global locations. We are always looking to add great new talent to our team and look forward to hearing from you. Spektrum supports apex purchasers (NATO, UN, EU and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects. Who we are supporting Allied Command Transformation (ACT) is NATO’s leading agent for change: driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance the military relevance and effectiveness of the Alliance. The main objectives of ACT are: providing appropriate support to NATO missions and operations; leading NATO military transformation; and improving relationships, interaction and practical cooperation with partners, nations and international organisations. ACT therefore leads Alliance concept development, capability development, training and lessons-learned initiatives and provides unfettered military support to policy development within NATO. The program Capability Development & Management Support (CDMS) DCOS Capability Development (CAPDEV) acts as the Supreme Allied Commander Transformation's Director for guidance, direction and coordination of the activities and resources of the Capability Development Directorate. The Requirements Division will execute all tasks and activities needed to support requirements management for NATO capabilities The Capability Requirements (CR) Branch will develop the Capability Requirements Brief and recommended courses of action to resolve issues through the life cycle management of requirements using matrixed, cross-functional project-specific Requirements Management teams. The Requirements Forward Branch (Mons) is responsible for conducting requirements development and management representation and engagement-related functions in Europe. The Capability Division coordinates the development of capabilities from capability planning through acceptance and then disposal with management entities, NATO Headquarters staff and the NATO Governance Structure The Capability Forward Branch (Mons) coordinates with ACO, NCIA, NSPA, NATO HQ, territorial Host Nations, and NATO Centres of Excellence (COEs) to support the development of capabilities. Strategic Plans and Policy (SPP) supports Allied Command Transformation in formalizing military advice to shape future military strategy, political guidance, and other policy documents supporting NATO’s strategic objectives. Role Duties and Responsibilities Contribute to the development and implementation of an enabling data science and AI capability at HQ SACT and across the NATO Enterprise, with a specific focus on scalable data engineering and software systems to support AI initiatives. Design, develop, and maintain robust data pipelines and architectures to manage the ingestion, transformation, and processing of structured and unstructured data for large Language Model (LLM)-based applications and other AI systems. Lead efforts to optimize data delivery and automate data engineering processes, proposing enhancements to infrastructure to improve scalability, efficiency, and reliability in support of LLM deployments. Build API-based infrastructure and frameworks that enable seamless integration of LLMs and ML models with operational systems, ensuring performance, security, and interoperability with NATO environments. Support the development, testing, and validation of microservices and containerized applications to operationalize AI/ML capabilities, including deployment of LLM use cases within NATO. Implement distributed data storage and processing systems (e.g., cloud-based or hybrid architectures) that align with NATO standards and enable scalable use of LLMs across the enterprise. Develop tools and systems to improve data accessibility, enabling data scientists and analysts to efficiently interact with and query data for training, inference, and analytics. Coordinate with data scientists, software engineers, and system architects to align data engineering workflows with broader AI/ML objectives, ensuring timely delivery of clean, high-quality data for LLM training and inference. Establish mechanisms for real-time data processing and streaming, enabling LLMs to operate effectively in dynamic and responsive applications, such as operational decision support or strategic analysis. Conduct preprocessing, cleansing, and transformation of raw data into formats optimized for training, fine-tuning, and inference within LLM infrastructure. Implement robust monitoring, logging, and performance optimization tools for data pipelines and APIs, ensuring reliability and traceability of LLM-enabled workflows. Collaborate with teams to support federated learning approaches and cross-domain data sharing, ensuring compliance with NATO data sovereignty, security, and ethical guidelines. Provide subject matter expertise on data engineering and software development to (military and civilian) staff within HQ SACT or the NATO Enterprise, and develop proofs of concept for LLM-based applications as directed. Research, recommend, and implement best practices for deploying LLMs in secure, cloud-based environments such as Microsoft Azure or AWS, while considering NATO-specific data policies and standards. Evaluate operational requirements and objectives, recommending appropriate engineering solutions for integrating LLMs into NATO workflows and systems. Stay abreast of new developments in AI engineering, including innovations in LLM technologies, data architectures, distributed computing, and API development, to bring cutting-edge capabilities into implementation within NATO. Provide technical training and mentoring to NATO staff, supporting educational efforts in AI engineering, data pipeline design, API development, and digital literacy. Foster a culture of innovation and data-driven decision-making across NATO by building scalable systems that enable the effective exploitation of LLMs and advanced analytics. Perform additional tasks as required by the Contracting Officer’s Technical Representative (COTR) related to the LABOR category. Essential Skills and Experience Minimum 4 years of proven work experience as a Data Scientist, Machine Learning Engineer, Data Engineer, or Software Engineer, with a strong emphasis on distributed systems, cloud-based architectures, developing operational AI/ML solutions, and designing API-based infrastructures, microservices architectures, and containerized applications (e.g., Docker, Kubernetes). Demonstrated experience working with GenAI, in particular LLMs, including preprocessing data, fine-tuning, and deployment in secure and scalable environments to include AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Proven expertise in programming languages such as Python, Java, or Scala, with demonstrated experience in software engineering practices (e.g., version control, CI/CD pipelines, containerization). Experience building and optimizing data pipelines, ETL processes, and real-time streaming solutions using tools like Apache Airflow, Kafka, Spark, or equivalent. Knowledge of applied AI principles, particularly in implementing AI systems for operational decision support and analyzing unstructured data (e.g., text, imagery). Ability to architect and maintain scalable data lakes, data warehouses, or distributed storage systems (e.g., Delta Lake, Snowflake, Hadoop, or NoSQL solutions). Demonstrated understanding of data security, privacy, and sovereignty issues, particularly in military or international environments, ensuring compliance with NATO operational and ethical standards. Experience building visually impactful reports, dashboards, and analytics using tools such as Tableau, MS Power BI, or Kibana, supporting informed decision-making for high-level stakeholders. Professional experience in NATO environments or familiarity with NATO processes, organizational culture, and decision-making structures. Ability to translate operational problems into practical AI/ML solutions tailored for military and civilian teams. Proven ability to collaborate effectively within multidisciplinary teams, including coordinating with data scientists, software engineers, and system architects on cross-functional projects. Strong oral and written communication skills, with the ability to brief non-technical audiences and mentor staff in AI engineering, data science, and software development concepts. Desirable Qualifications Experience leveraging open-source frameworks and publicly available datasets to develop innovative AI and data engineering solutions for operational or analytical use cases. Proficiency in presenting data-driven insights clearly to non-technical audiences, showcasing an ability to craft compelling narratives and actionable recommendations for senior leadership. Understanding of military staff workflows and processes, alongside familiarity with federated learning techniques for enabling secure collaboration across NATO nations while preserving sovereignty of sensitive datasets. Exposure to agile project management methods and tools (e.g., Loop, JIRA, Trello) for coordinating and tracking progress across multi-disciplinary AI/ML projects. Eligibility for NATO security clearance and prior experience working with classified or sensitive data, including understanding security protocols for processing, handling, and securing such data. Exposure to cross-domain data sharing and API-driven interoperability, ensuring effective integration across systems while adhering to security and ethical guidelines within military or international environments. Familiarity with principles of ethical AI development, including considerations for bias mitigation, responsible data handling, and alignment with NATO’s ethical frameworks for AI deployment. Education A Bachelor’s degree or higher at a nationally recognized/certified university in Data Science, Data Analytics, AI engineering, or a related discipline such as Mathematics, Physics, Computer Science, Software Engineering OR 4 years minimum professional experience in the area of Data Science, including providing analysis and advice in the field of data science, within the last 5 years. Language Proficiency Advanced Proficiency in English Working Location Norfolk, VA, USA Working Policy On-Site Contract Duration January 2026 – December 2030 Security Clearance Valid National or NATO Secret personal security clearance We never know what new opportunities might be just over the horizon. If this opportunity isn't for you please feel free to send us your resume anyway and be the first to know if something suitable for your skills and experience comes up.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Director, R&D Data Science, Data Products – Neuroscience. This position has a primary location of Titusville, NJ but is also open to Spring House, PA or Cambridge, MA . The position will require up to 25% travel. About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Position Summary The Director, Data Products – Neuroscienceis responsible for leading the strategy, design, and delivery of user-centric, reusable data products that enable advanced analytics, data science, and AI/ML solutions across the Neuroscience Therapeutic Area (TA). This role ensures that high-value internal and external Neuroscience data assets—including preclinical, translational, clinical, competitive intelligence, and real-world data (RWD/RWE)—are standardized, productized, and integrated into Janssen’s enterprise R&D data ecosystem. Working closely with Data Science teams, Neuroscience TA scientific leaders, and the broader Data Strategy & Products organization, this leader ensures that Neuroscience data products fill business requirements, such as being AI-ready, semantically consistent, and interoperable, enabling faster discovery, stronger evidence generation, and better regulatory outcomes. Key Responsibilities Data Product Strategy & Execution Lead a team to develop technical requirements for Neuroscience-facing data products Define and maintain a roadmap for Neuroscience data products, spanning discovery, translational research, clinical development, and real-world evidence. Develop data products through , agile delivery, and FAIR data principles to ensure products are scalable, interoperable, and reusable across Janssen and partner functions. Deliverintegration of internal and external Neuroscience data sources (e.g., clinical trial data, genomics/omics, competitor intelligence, registry and RWE datasets). Ontology & Semantic Modeling Contribute to the development and governance of a Neuroscience Ontology to enable semantic consistency across discovery, clinical, regulatory, and real-world data. Align Neuroscience Ontology with enterprise metadata standards and external frameworks (e.g., CDISC, GA4GH, FHIR, NCI Thesaurus). Collaboration & Integration Partner with Knowledge Management, Data Product Architecture & Governance, and Master Data Management teams to ensure Neuroscience data products integrate seamlessly into enterprise ontologies, knowledge graphs, and catalogs. Collaborate with Neuroscience Data Science, clinical, translational, and commercial Neuroscience stakeholders to co-create solutions that maximize the value of Neuroscience data assets. Interface with regulatory and compliance teams to ensure Neuroscience data products meet global standards. Team & Operating Model Leadership Lead a cross-functional team of product owners, data engineers, and Neurosciencedata domain experts aimed at delivering data products to Neuroscience. Establish and implement governance models, agile delivery processes, and value-tracking metrics for Neuroscience data products. Value Realization & Communication Define and track KPIs to measure the impact of Neuroscience data products on scientific insights, trial efficiency, and regulatory outcomes. Communicate vision, roadmap, and value realization to Neuroscience leadership, data science teams, and executive stakeholders. Champion data literacy and adoption within the Neuroscience TA. Strategic Impact The Director, Data Strategy & Products – Neuroscience TA is responsible to ensure Neuroscience data is transformed into trusted, AI-ready products that accelerate discovery, improve trial design and execution, and strengthen regulatory readiness. By embedding semantic rigor and aligning with enterprise data strategy, this role positions Neuroscience data as a strategic asset that drives scientific innovation and patient impact across Janssen R&D. Qualifications Education PhD or Master’s in informatics, computer science, life sciencesor related discipline. Skills & Expertise 8+ years of experience in pharma/biotech R&D with a focus ondata product development and delivery, or data science. A focus on Neuroscience is a plus. Strong track record in data product development, data integration, or semantic modeling within a TA or domain-specific context. Experience working with multi-modal Neuroscience data, including omics, imaging, translational, clinical trial, and RWE data. Deep knowledge of data products, database design, data transformation/mapping. Neuroscience research, clinical trial design, and regulatory data requirementsis a plus. Familiarity with metadata management, ontologies, knowledge graphs, and industry data standards (e.g., CDISC, GA4GH). Strong leadership, collaboration, and communication skills, with ability to translate technical strategy into business/science value. Demonstrated ability to influence stakeholders and drive adoption of new data capabilities across a complex organization. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JRDDS #JNJDataScience #JNJIMRND-DS The anticipated base pay range for this position is : The anticipated base pay range for this position is $160,000 to $276,000 USD. Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year Holiday pay, including Floating Holidays –13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits