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

Role Summary

Senior Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Neuroscience leads a multidisciplinary team to develop evidence solutions across real-world data, trial data, and emerging data sources to support Neuroscience programs and regulatory submissions. The role drives strategic RWE initiatives, fosters internal and external partnerships, and elevates evidence development capabilities to improve R&D outcomes and patient impact. The primary location is flexible across Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA.

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 evidence solutions.
• 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.

Qualifications

• Required: Ph.D. or Master’s in epidemiology, biostatistics, outcomes research, health policy, or related field.
• 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 statistical methods to mitigate bias and confounding.
• 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.
• Required: Proficiency in R, Python, or SQL.
• Preferred: Deep neuroscience domain expertise: in-depth knowledge of neurodegenerative, neuropsychiatric and ophthalmic diseases, clinical development, and trial design challenges.
• Preferred: Expertise in wearables & digital health technologies: developing and validating digital biomarkers, integrating wearables into clinical trials, designing clinical trials with decentralized elements.
• Preferred: Experience in multi-omics including designing and interpreting large-scale proteomic studies, analyzing data from large biobanks to identify causal drivers and clinical relevancy.
• Preferred: Experience integrating multi-modal data for holistic disease understanding and patient subtyping.