Johnson & Johnson Innovative Medicine is recruiting for Senior Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Neuroscience  

The primary location for this position is flexible –  Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA. 

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ 

The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing innovative evidence solutions and critical insights through diverse data sources including RWD, trial data and emerging innovative data sources to support clinical programs and regulatory submissions.  This role will drive strategic collaborations, champion innovation, and elevate evidence development capabilities in Neuroscience. The successful candidate will lead a multidisciplinary team and manage internal and external partnerships, including collaborations within the R&D Data Science & Digital Health teams and across the R&D stakeholders, to deliver impactful evidence to enhance R&D success and patient impact.  

Other key responsibilities are as follows: 

• 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.  

Required qualifications: 

• 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. 

• 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). 

• 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. 

• Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges. 

• Proficiency in R, Python, or SQL. 

Additional valued qualifications: 

• 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