Director, RWE & Advanced Analytics - Data Science Leader

Partners in Digital Health

New Jersey

Hybrid

USD 164,000 - 283,000

Full time

10 days ago

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Job summary

Johnson & Johnson in the United States is seeking a Director, R&D Data Science & Digital Health for Real-World Evidence Advanced Analytics. You will lead a multidisciplinary team and influence strategy from data feasibility through final presentation to senior leaders.

The role requires a PhD in epidemiology or biostatistics, strong R coding, and 8+ years in biopharma or healthcare analytics, including 5+ years of people management; experience with RWD sources and regulatory interactions

Qualifications

  • PhD in epidemiology or biostatistics, with strong methodological expertise.
  • Excellent R coding skills and hands-on data analysis experience.
  • 8+ years in biopharma/RWE or healthcare analytics; 5+ years in people management.
  • Experience with multiple real-world data sources (EHR, claims, registries) and trial data familiarity.
  • Excellent interpersonal, communication and presentation skills.

Responsibilities

  • Lead, mentor, and manage a multidisciplinary team of RWE scientists.
  • Partner with TA leaders to conceptualize, lead, shape and deliver Real World Evidence.
  • Be a hands-on scientific and technical leader; develop best practices and tools.
  • Provide end-to-end expertise in RWE studies from design to interpretation.
  • Develop RWD methodologies to mitigate biases in external/hybrid controls.
  • Generate actionable insights to support regulatory interactions.
  • Create study protocols, analysis plans, and deliverables including datasets, tables and figures.

Skills

R coding
Leadership
Data analysis
Communication

Education

Ph.D. in epidemiology or biostatistics

Tools

R programming
Real-world data sources

Job description

Johnson & Johnson in the United States is seeking a Director, R&D Data Science & Digital Health for Real-World Evidence Advanced Analytics. You will lead a multidisciplinary team and influence strategy from data feasibility through final presentation to senior leaders.

The role requires a PhD in epidemiology or biostatistics, strong R coding, and 8+ years in biopharma or healthcare analytics, including 5+ years of people management; experience with RWD sources and regulatory interactions

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