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

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

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.

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 with the R&D Data Science & Digital Health team 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 generationfrom 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 :

Proficiency in R, Python, or SQL. Additional valued qualifications :

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. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is $173,000 to $299,000.

Additional Description for Pay Transparency Employees and / or eligible dependents may be eligible to participate in the following : 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