Postdoctoral Scientist - RWE Neurology

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. Job Function: Career Programs Job Sub Function: Post Doc – Data Analytics & Computational Sciences Job Category: Career Program All Job Posting Locations: Cambridge, Massachusetts, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for Postdoctoral Scientist, R&D DDSAI, Real-World Evidence (RWE) Neurology   About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine The  Real-World Evidence (RWE) Neurology team within Johnson & Johnson Innovative Medicine is seeking an outstanding postdoctoral scientist to help develop real-world evidence methods to support neuroscience clinical development. This role will focus on building practical, reusable approaches to evaluate whether artificial intelligence and machine learning outputs are  robust, interpretable, and fit-for-purpose  when applied to clinical-development regulatory grade questions. The postdoctoral scientist will work at the intersection of real-world data, historical clinical trial data, clinical outcomes, biomarkers, and selected multimodal data sources to support patient characterization, disease-trajectory modeling, endpoint assessment, and evidence generation for regulatory and clinical decision-making.

The postdoctoral scientist will contribute to projects that may include: Analyze real-world data sources, observational databases, registries, and historical clinical trial data to generate insights supporting neuroscience clinical development and regulatory evidence strategies. Develop and apply statistical and machine learning methods to support patient subtyping, disease-progression modeling, endpoint evaluation, treatment-pattern characterization, and clinical trial design. Evaluate model robustness and stability under clinically meaningful changes, such as cohort definitions, biomarker thresholds, endpoint assumptions, missingness patterns, or patient-selection criteria. Support development of interpretable and transparent modeling workflows, including model documentation, sensitivity analyses, bias assessment, and reproducibility checks. Integrate structured clinical data with selected multimodal inputs, such as biomarkers, clinical narratives, digital measures, or literature-derived features, where appropriate and feasible. Conduct literature reviews to contextualize disease biology, clinical endpoints, real-world evidence methods, and emerging artificial intelligence approaches in neuroscience. Create study protocols, statistical analysis plans, analysis-ready datasets, tables, figures, and technical reports. Collaborate with cross-functional partners, including statistics, data science, clinical development, translational science, regulatory, epidemiology, and medical affairs teams.