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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. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America 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. 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 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 #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: The anticipated base pay range for this position is : Additional Description for Pay Transparency:

Location: Great Lakes Region Reports to: National Executive Director Travel: ~ 60-80% Who we are looking for: The Medical Science Liaison (MSL) in Neurology will serves as a scientific expert, fostering partnerships with healthcare professionals, clinical researchers, and advocacy groups in relevant disorders. The MSL will deliver high-quality scientific exchange, provide education on emerging data, support clinical trial execution, and capture insights that inform medical strategy. The primary focus will be advancing the development of telitacicept for Myasthenia Gravis, gMG. Key Responsibilities Scientific Expertise Build and maintain expertise in the company's Neurology pipeline, disease biology, and evolving treatment landscape. Serve as a trusted scientific resource for internal colleagues and external stakeholders. Partner across Medical Affairs, Clinical Development, and Commercial to align strategies with scientific and patient community needs. Identify opportunities to contribute to scientific communication and evidence generation, including publications, education initiatives, and advisory programs. Participate in Neurology-focused scientific meetings and congresses, gathering and sharing insights with internal teams. KOL & Stakeholder Engagement Establish and nurture relationships with key opinion leaders, investigators, and clinical specialists in Neurology. Facilitate transparent, non-promotional scientific exchange on disease awareness, diagnostics, investigational therapies, and broader therapeutic landscape. Engage investigators and clinical trial sites to support enrollment, protocol understanding, and research collaboration. Contribute to evidence generation through IIS and outcomes research collaborations. Adapt communication and engagement style to address the needs of both academic centers and community Neurology practices. Cross-Functional Collaboration Work closely with colleagues in Medical Affairs, Clinical, and Commercial to ensure scientific alignment and launch readiness. Provide timely, compliant responses to medical and scientific inquiries from stakeholders. Support advisory boards, educational initiatives, and training programs to strengthen medical and scientific capabilities across the organization. Skills and Competencies Strong scientific acumen and ability to translate complex data into meaningful discussions with external experts. Excellent relationship-building skills and comfort engaging with neurologists, researchers, and healthcare providers. Demonstrated understanding of clinical trial operations and site engagement. Familiarity with the U.S. healthcare environment, spanning academic and community neurology practices. Ability to collaborate effectively across diverse internal functions and work independently in the field. High-level communication, presentation, and interpersonal skills. Strong organizational skills and ability to prioritize in a dynamic environment. Willingness to travel extensively as needed. Qualifications: Advanced degree required (PharmD, PhD, MD, or DO). 3+ years of MSL or equivalent field-based medical affairs experience in the biotech or pharmaceutical industry. Prior neurology experience required; MSL experience in Myasthenia Gravis, strongly preferred. Knowledge of medical and regulatory standards guiding interactions with healthcare professionals. The salary range for the Medical Science Liaison is expected to be between $208,000 and $240,000 per year. Individual pay may vary based on multiple factors including but not limited to relevant job-related skills, experience, education or training, market factors, and work location. The salary range for the Senior Science Liaison is expected to be between $235,000 and $255,000 per year. Individual pay may vary based on multiple factors including but not limited to relevant job-related skills, experience, education or training, market factors, and work location.