Johnson & Johnson
Senior Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), N
Johnson & Johnson, Raritan, New Jersey, us, 08869
Senior Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Neuroscience
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. 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. Job Function : Data Analytics & Computational Sciences Job Sub Function : Data Science Job Category : People Leader Job Description : 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. Key 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. 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 Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law.
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At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. 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. Job Function : Data Analytics & Computational Sciences Job Sub Function : Data Science Job Category : People Leader Job Description : 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. Key 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. 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 Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law.
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