Sr Director, Head of Data Science & Digital Health -Therapeutics Discovery
Johnson & Johnson
June 28, 2026
Remote friendly (Cambridge, MA)
United States
$196,000 - $342,700 USD yearly
Clinical Research and Development
Sr Director, Head of Data Science & Digital Health – Therapeutics Discovery
Role Overview
Lead Data Science and engineering strategy for R&D Therapeutics Discovery (TD). Partner with TD leadership, embedded data scientists, and IT to streamline discovery data automation, deliver robust data products, and scale advanced analytics and AI across the portfolio. Shape how discovery data is captured, integrated, and leveraged to accelerate decision-making and ensure interoperability with PSTS, TDS, and Therapeutic Areas.
Key Responsibilities
- Develop and execute TD data strategy (advanced automation, data integration, FAIR data practices) aligned with TD and IT.
- Design and implement scalable data pipelines for discovery workflows.
- Build external partnerships with industry consortia and academic partners.
- Co-champion data governance, analytics, MLOps, and Responsible AI standards as reusable capabilities.
- Lead a core team of data scientists and engineers.
- Introduce emerging technologies (generative/agentic AI, multimodal analytics, advanced automation) and data/technology innovation standards with TD and IT.
- Collaborate across Discovery, DPDS, and Therapeutic Areas to generate/analyze data for therapeutic discovery (e.g., experiment design, molecule design, lab process automation).
Qualifications
- PhD (or equivalent) in Computational Biology, Chemistry, AI/ML, Applied Math/Statistics, or related field.
- 12+ years in data science for drug discovery; experience leading teams in a matrix setting.
- Expertise in R&D innovation via data science, data engineering, and automation.
- Strong experience applying/creating ML/AI methods with deep knowledge of drug discovery workflows.
- Demonstrated delivery of interoperable data products and scalable analytics platforms.
- Excellent communication and matrix leadership.
Leadership Attributes
Strategic vision; collaborative influence; innovation mindset; talent development; communication excellence.
Preferred Skills
Advanced analytics; data analysis; data quality/reporting/visualization; data privacy standards; compliance management; digital fluency; strategic thinking; inclusive leadership; developing others.
Benefits (time off)
Vacation 120 hours/year; sick time 40 hours/year (state-specific); holiday pay incl. floating holidays 13 days/year; work/personal/family time up to 40 hours/year; parental leave 480 hours; bereavement leave; caregiver leave; volunteer leave; military spouse time-off. For additional general information: https://www.careers.jnj.com/employee-benefits
Role Overview
Lead Data Science and engineering strategy for R&D Therapeutics Discovery (TD). Partner with TD leadership, embedded data scientists, and IT to streamline discovery data automation, deliver robust data products, and scale advanced analytics and AI across the portfolio. Shape how discovery data is captured, integrated, and leveraged to accelerate decision-making and ensure interoperability with PSTS, TDS, and Therapeutic Areas.
Key Responsibilities
- Develop and execute TD data strategy (advanced automation, data integration, FAIR data practices) aligned with TD and IT.
- Design and implement scalable data pipelines for discovery workflows.
- Build external partnerships with industry consortia and academic partners.
- Co-champion data governance, analytics, MLOps, and Responsible AI standards as reusable capabilities.
- Lead a core team of data scientists and engineers.
- Introduce emerging technologies (generative/agentic AI, multimodal analytics, advanced automation) and data/technology innovation standards with TD and IT.
- Collaborate across Discovery, DPDS, and Therapeutic Areas to generate/analyze data for therapeutic discovery (e.g., experiment design, molecule design, lab process automation).
Qualifications
- PhD (or equivalent) in Computational Biology, Chemistry, AI/ML, Applied Math/Statistics, or related field.
- 12+ years in data science for drug discovery; experience leading teams in a matrix setting.
- Expertise in R&D innovation via data science, data engineering, and automation.
- Strong experience applying/creating ML/AI methods with deep knowledge of drug discovery workflows.
- Demonstrated delivery of interoperable data products and scalable analytics platforms.
- Excellent communication and matrix leadership.
Leadership Attributes
Strategic vision; collaborative influence; innovation mindset; talent development; communication excellence.
Preferred Skills
Advanced analytics; data analysis; data quality/reporting/visualization; data privacy standards; compliance management; digital fluency; strategic thinking; inclusive leadership; developing others.
Benefits (time off)
Vacation 120 hours/year; sick time 40 hours/year (state-specific); holiday pay incl. floating holidays 13 days/year; work/personal/family time up to 40 hours/year; parental leave 480 hours; bereavement leave; caregiver leave; volunteer leave; military spouse time-off. For additional general information: https://www.careers.jnj.com/employee-benefits