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. Flexible primary location (Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA). Leads an RWE team to deliver evidence solutions and insights to support clinical programs and regulatory submissions in Neuroscience.

Responsibilities

• Lead and mentor a high-performing team of RWE scientists to deliver end-to-end evidence generation‚Äîfrom 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 methods).
• Advance capabilities in integrating multi-modal data to support precision medicine approaches.

Qualifications

• Required: Ph.D. or Master‚Äôs 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.

Skills

• Data analytics and computational sciences
• Real-World Evidence method development
• Multi-modal data integration
• Strategic collaboration and partnership management
• Advanced statistical methodologies (e.g., external controls, Bayesian methods)

Education

• Ph.D. or Master‚Äôs degree in epidemiology, biostatistics, outcomes research, health policy, or related field

Additional Requirements

• Deep neuroscience domain expertise (desirable).
• Wearables & digital health technologies experience (desirable).
• Multi-omics and large biobank data experience (desirable).
• Ability to work across cross-functional teams and global locations.