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Senior Director - R&D Data Science & Digital Health - Real-World Evidence

Johnson & Johnson

$173,000 - $299,000
Oct 1, 2025
Cambridge, MA, USA • New Hope, PA, USA • Bridgewater Township, NJ, USA • San Diego, CA, US • Ambler, PA, USA
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Johnson & Johnson Innovative Medicine is looking to develop innovative evidence solutions and critical insights through diverse data sources to support clinical programs and regulatory submissions, specifically within Neuroscience. This role aims to enhance R&D success and patient impact by leveraging Real-World Evidence (RWE).

Requirements

  • Proven expertise in data extraction, cleaning, and analysis; strong grasp of statistical methods to mitigate bias and confounding.
  • Experience with diverse data sources (EHR, claims, registries, trial data, digital health).
  • Proficiency in R, Python, or SQL.
  • Deep neuroscience domain expertise: in-depth knowledge of neurodegenerative, neuropsychiatric and ophthalmic diseases, clinical development, and trial design challenges
  • Expertise in wearables & digital health technologies: developing and validating digital biomarkers, integrating wearables into clinical trials, designing clinical trials with decentralized elements
  • Experience in multi-omics including designing and interpreting large-scale proteomic studies, analyzing data from large biobanks to identify causal drivers and clinical relevancy
  • Experience integrating multi-modal data for holistic disease understanding and patient subtyping

Responsibilities

  • Lead and mentor a high-performing team of RWE scientists to deliver end-to-end evidence generation—from data feasibility and study design to analysis and presentation.
  • Shape and execute strategic RWE initiatives in neuroscience, aligning with R&D priorities.
  • Drive internal and external partnerships to conceptualize and deliver advanced insights and evidencesolutions.
  • Develop shared tools and best practices to foster a scalable, data-driven culture.
  • Provide thought leadership in advanced methodologies (e.g., comparative effectiveness, external control arms, Bayesian method).
  • Advance capabilities in integrating multi-modal data to support precision medicine approaches.
  • Experience with diverse data sources (EHR, claims, registries, trial data, digital health).

Other

  • Ph.D. or Master’s in epidemiology, biostatistics, outcomes research, health policy, or related field.
  • 10+ years of relevant experience in biopharma, RWE consulting, or healthcare industries.
  • 7+ years of experience as a people manager.
  • Strong communication skills, with the ability to effectively engage both technical and non-technical stakeholders.
  • Proven leadership and influencing capabilities, with a track record of inspiring teams and driving cross-functional alignment.