Principal Statistical Programmer FSP-RWE

The Principal Real-World Evidence (RWE) Scientist will provide scientific and analytical leadership for real-world evidence generation using large healthcare data sources, including administrative claims and electronic medical records (EMR). This role supports the evaluation of real-world clinical and economic outcomes for products, with a strong focus on oncology. This role will lead the tactical planning, execution, and oversight of RWE studies, ensuring the timely delivery of high-quality, scientifically robust research outputs. Support the design and execution of RWE studies or internal analytic projects using administrative claims and EMR data, including development of research protocols and input into statistical analysis plans (SAPs). u00b7 Oversee end-to-end project execution in collaboration with external research vendors and/or internal analytics teams. u00b7 Provide scientific guidance to ensure methodological rigor, data quality, and interpretability of study findings. u00b7 Manage project timelines, milestones, and deliverables, ensuring adherence to agreed-upon schedules. u00b7 Coordinate and facilitate study team communication, including preparation and dissemination of interim and final study results to key stakeholders. u00b7 Stay current with evolving RWE methodologies, regulatory expectations, and industry best practices, applying relevant innovations to ongoing projects. u00b7 Support recurring reports, ad hoc analyses, and regulatory or scientific dissemination activities as required. u00b7 PhD in Epidemiology, Biostatistics, Health Outcomes Research, or a related field with 2+ years of relevant post-graduate research experience; or MS in Epidemiology or a related discipline with 4+ years of applied research experience. u00b7 Minimum 2 years of hands-on experience analyzing healthcare claims and EMR databases (e.g., Flatiron or similar). u00b7 Demonstrated experience managing RWE projects utilizing secondary data sources and/or chart review studies. u00b7 Strong understanding of observational study design, bias mitigation, and real-world data limitations. u00b7 Proven ability to manage multiple projects concurrently in a fast-paced environment including timeline management and budget tracking. u00b7 Experience conducting RWE research in oncology is strongly preferred. u00b7 Excellent collaboration, communication, and stakeholder-management skills. u00b7 Ability to operate independently while working effectively within cross-functional and matrixed teams.Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.

Created: 2026-05-07