Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Neuroscience
About The Position
Johnson & Johnson Innovative Medicine is recruiting for 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. Role Summary: We are seeking a highly skilled and motivated scientific director to join our RWE team. The successful candidate will apply advanced statistical methods to support algorithm development, patient stratification, innovative trial design and novel endpoint development for neuroscience. This role will help shape the next generation of data-driven solutions for neuroscience drug discovery and development, working closely with the Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory and Patient Reported Outcomes.
Requirements
- Ph.D. or Master’s in biostatistics/statistics, epidemiology, or related field.
- 8+ years of experience in pharmaceutical, biotech, RWE consulting or healthcare analytics.
- Expertise in statistical modeling including inference, Bayesian methodologies, time series analysis and functional data analysis approaches.
- Experience working with real-world data (EHR, claims, registries, digital health) and familiarity with their opportunities and limitations.
- Proficiency in statistical programming languages (R, Python, SAS, or equivalent).
- Demonstrated ability to work in a cross-functional environment, with excellent communication and collaboration skills.
- A track record of scientific impact through publications, conference presentations, and/or regulatory interactions.
Nice To Haves
- Knowledge of state-of-the-art AI methodologies is an advantage.
- Knowledge of endpoint validation frameworks and regulatory requirements (e.g., FDA/EMA) is highly desirable.
- Experience working with neuroscience datasets (e.g., MRI, EEG, digital cognitive measures, biomarkers) and understanding of their clinical context is desired.
Responsibilities
- Design, develop, and validate statistical approaches and algorithms for patient stratification, leveraging both clinical trial and real-world datasets.
- Lead the statistical design, analysis, and validation of novel digital endpoints (e.g., wearables, speech, cognition) for neuroscience.
- Partner with our multidisciplinary team to ensure biological and clinical relevance of patient stratification strategies and novel endpoints.
- Apply rigorous statistical methodologies to algorithm development, ensuring reproducibility, robustness, and regulatory readiness.
- Develop and maintain statistical analysis plans, simulation studies, and innovative methodologies tailored to multimodal datasets.
- Apply advanced statistical and machine learning methods to large-scale datasets, including EHRs, claims, registries and longitudinal cohort studies.
- End-to-end expertise in RWE research including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.
- Communicate findings and methodologies clearly to scientific, clinical, and non-technical stakeholders.
- Contribute to regulatory submissions, publications, and presentations at internal and at scientific meetings.
- Stay current with emerging statistical methodologies, regulatory guidance, and best practices in RWE.
Benefits
- medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
- Company’s consolidated retirement plan (pension) and savings plan (401(k)).
- long-term incentive program.
- Vacation –120 hours per calendar year
- Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
- Holiday pay, including Floating Holidays –13 days per calendar year
- Work, Personal and Family Time - up to 40 hours per calendar year
- Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
- Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member
- Caregiver Leave – 10 days
- Volunteer Leave – 4 days
- Military Spouse Time-Off – 80 hours
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
Ph.D. or professional degree
