Director, R&d Data Science & Digital Health – Ocmo (office Of The Chief Medical Officer)

J&J FAMILY OF COMPANIES

Spring House, Pennsylvania, United States of America
Base: $164,000.00 - $282,900.00; bonus/equity: eli...
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End-to-end data and ai solutions in biomedical contexts
Scalable data pipelines and ai-ready data products
Model governance, versioning, and validation practices
** Johnson & Johnson is seeking a Director for R&D Data Science & Digital Health to lead the data science strategy within the Office of the Chief Medical Officer. The role focuses on developing robust analytics and data engineering capabilities to enhance patient safety signal detection and support drug discovery initiatives. **

Job Summary

  • This role leads a team to build end-to-end capabilities connecting biology-informed hypotheses to scaled analytics for patient safety signal forecasting.
  • The position requires designing robust data pipelines and governed data products that enable rapid signal interpretation at scale across diverse R&D sources.
  • Johnson & Johnson offers a competitive base pay range of $164,000.00 - $282,900.00 along with comprehensive benefits including retirement plans and paid time off.

Matching Summary

Match Score: 75

** Johnson & Johnson is seeking a Director for R&D Data Science & Digital Health to lead the data science strategy within the Office of the Chief Medical Officer. The role focuses on developing robust analytics and data engineering capabilities to enhance patient safety signal detection and support drug discovery initiatives. **

Salary

Base: $164,000.00 - $282,900.00; Bonus/Equity: Eligible for long-term incentive program; Benefits: Pension, 401(k), vacation, sick time, parental leave, and more

Skills & Requirements

Must-have

  • End-to-end data and AI solutions in biomedical contexts
  • Scalable data pipelines and AI-ready data products
  • Model governance, versioning, and validation practices
  • Proficiency with Python, R, SQL, and cloud services
  • Experience leading teams in matrixed environments

Nice-to-have

  • Stakeholder leadership and strategic communication
  • Inclusive leadership and developing others
  • Knowledge graph and ontology harmonization
  • Closed-loop learning from safety to discovery
  • Budget management and program management skills

Key Requirements

  • Advanced degree (MS or PhD) in Data Science, Biostatistics, Computational Biology, or related field
  • Significant experience leading end-to-end Data & AI solutions in life sciences
  • Demonstrated ability to implement data quality standards and lineage/versioning

Work Rights

Not specified

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