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

• 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.

Do you have experience in SAS?, Do you have a Master's degree?, * 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. Knowledge of state-of-the-art AI methodologies is an advantage.
• Experience working with real-world data (EHR, claims, registries, digital health) and familiarity with their opportunities and limitations.
• Knowledge of endpoint validation frameworks and regulatory requirements (e.g., FDA/EMA) is highly desirable.
• 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.
• Experience working with neuroscience datasets (e.g., MRI, EEG, digital cognitive measures, biomarkers) and understanding of their clinical context is desired., Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning

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 jnj.com. As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit., 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. including Beerse, Belgium 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.