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Senior Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Across Therapeutic Areas

Johnson & Johnson
Remote friendly (San Diego, CA)
United States
$173,000 - $299,000 USD yearly
Clinical Research and Development

Role Summary

Senior Director, R&D Data Science & Digital Health, Real-World Evidence (RWE) across therapeutic areas. Leads RWE strategy and execution to generate regulatory-grade evidence, inform clinical programs, and advance scientific leadership across R&D and commercial partnerships. Primary location is flexible among Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA.

Responsibilities

  • Strategic Leadership & Ecosystem Building
  • Define and execute the RWE initiatives across therapeutic areas, ensuring alignment with long-term organizational goals.
  • Lead cross-functional RWE committees and foster high-impact partnerships with internal and external stakeholders.
  • Shape and elevate the enterprise-wide RWE ecosystem through innovation, governance, and capability building.
  • Regulatory Policy & Scientific Influence
  • Serve as a strategic advisor on regulatory-grade evidence generation and policy shaping.
  • Lead preparation and presentation of scientific data packages for regulatory submissions and agency interactions.
  • Represent J&J in external forums to influence RWE standards and regulatory expectations.
  • Scientific Leadership & Methodological Excellence
  • Chair the Methodology Review Board (MRB) and oversee a portfolio of high-impact RWE projects.
  • Establish best practices for novel study designs and implementation.
  • Promote continuous learning and innovation in emerging RWE methodologies and technologies.
  • Develop frameworks and tools to scale evidence generation and accelerate delivery.
  • Champion a culture of scientific rigor, collaboration, and execution excellence.

Qualifications

  • Required: 10+ years of relevant experience in biopharma, RWE consulting, or healthcare industries.
  • Required: 7+ years of experience as a people manager.
  • Required: Proven expertise in data extraction, cleaning, and analysis; strong grasp of advanced statistical methods.
  • Required: Experience with diverse data sources (EHR, claims, registries, trial data, digital health).
  • Required: Strong communication skills, with the ability to effectively engage both technical and non-technical stakeholders.
  • Required: Proven leadership and influencing capabilities, with a track record of inspiring teams and driving cross-functional alignment.
  • Required: Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges.

Skills

  • Proficiency in R, Python, or SQL.

Education

  • Ph.D. or Master’s in epidemiology, biostatistics, outcomes research, health policy, or related field.