Lead Data Scientist leveraging datasets to build analytics tools for audit practitioners in an inclusive startup environment. Collaborate with teams to improve operational efficiencies and data insights.
JJ
Hybrid Senior Director, R&D Data Science, Digital Health, Real-World Evidence, Neuroscience
Posted 3 weeks ago
About the role
- Senior Director leading R&D Data Science & Digital Health initiatives at Johnson & Johnson. Facilitating innovative evidence solutions and strategic collaborations in Neuroscience.
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.
Requirements
- 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.
Benefits
- Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
- Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
- This position is eligible to participate in the Company’s long-term incentive program.
- Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year
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