Sr Director, Head of Data Science & Digital Health -Therapeutics Discovery
Listed on 2026-02-19
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IT/Tech
AI Engineer, Data Analyst
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 Med Tech, 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.
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Data Analytics & Computational Sciences
Job Sub FunctionData Science
Job CategoryPeople Leader
All Job Posting LocationsCambridge, Massachusetts, United States of America;
Spring House, Pennsylvania, United States of America
Johnson & Johnson Innovative Medicine is recruiting for a Sr Director, Head of Data Science & Digital Health – Therapeutics Discovery. This position has a primary location of Spring House, PA and is also open to Cambridge, MA. Travel:
Up to ~25% domestic/international.
Reports to:
VP, R&D Data Science – DPDS. 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.
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We are seeking a Senior Director to lead our Data Science and engineering strategy for our R&D Therapeutics Discovery (TD) organization. This role will partner closely with TD leadership, data scientists embedded in the TD teams, and our IT partners to streamline Discovery data automation, deliver robust data products, and scale advanced analytics and AI capabilities across the portfolio. You will shape how discovery data is captured, integrated, and leveraged to accelerate decision‑making and innovation.
This position requires a visionary leader who can align TD’s data strategy while ensuring interoperability with other departments such as Preclinical Sciences & Translational Safety (PSTS), Therapeutics Development & Supply (TDS), and all our Therapeutic Areas.
- Develop and execute a comprehensive data strategy for TD, focusing on advanced automation, data integration, and FAIR data practices; in close alignment with TD and IT.
- Lead the design and implementation of scalable data pipelines to support discovery workflows.
- Partner with TD leaders to build strong external partnerships with industry consortia and academic partners pertaining to Data Science needs for TD.
- Co‑Champion data governance, analytics, model lifecycle management (MLOps), and Responsible AI standards into reusable capabilities that can be shared elsewhere in the organization.
- Lead a core team of data scientists and engineers to support TD in reaching its strategic goals.
- Collaborate with TD teams (such as In Silico Discovery and Discovery Technologies & Molecular Pharmacology), IT, R&D Data Science, and external partners to jointly introduce emerging technologies such as generative and agentic AI, multimodal analytics, and advanced automation tools that benefit TD’s business objectives.
- Collaborate with TD teams (such as In Silico Discovery and Discovery Technologies & Molecular Pharmacology), IT, R&D Data Science, and external partners to jointly introduce data and technology innovation standards.
- Works with peers across Discovery, Product Development, & Supply (DPDS) and our Therapeutic Areas to generate and analyze our data in the best way possible for opportunities in Therapeutic Discovery (for example: experiment design, molecule design, lab process automation, etc.).
- PhD or equivalent experience in Computational Biology, Chemistry, AI/ML, Applied Math/Statistics or related field.
- 12+ years in data science for drug discovery, with experience leading teams in a matrix setting.
- Proven expertise in creating high‑impact R&D innovations through data science, data engineering, and automation within scientific domains.
- Strong experience leading the application/creation of…
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