Senior Scientist, Health Economic Resources

Plainsboro, NJ - hybrid 6 month contract Hybrid Work Schedule - Onsite 3 days a week Reason for Need: Additional, Budgeted The Contractor Senior Scientist, Health Economic Resources will support the design, execute, and communicate observational studies using diverse RWD sources. This role requires technical expertise in observational study design and execution, data and analytic infrastructure development, and advanced AI-driven analytics to deliver evidence that informs clinical development, market access, and health-policy decisions. This position reports to Head of RWD & Epi analytics at Center for Outcomes Research, Real World Evidence and Epidemiology (CORE). • Support implementation of strategies to demonstrate the unmet need in disease with focus on outcomes meaningful to payers, clinical decision-makers, and regulators. • Assist with research to generate evidence necessary to demonstrate product differentiation and value for commercial/market access needs support clinical development, regulatory and safety needs (real-world evidence and epidemiology studies). • Assist in projects and management of external partners/vendors in the execution of CORE projects. • Engage with cross-functional teams in development, commercial, market access, safety, legal and medical affairs as required. • Support execution of communication/publication strategies for given product & for publication/presentation of research outcomes at scientific conferences and forums. Responsibilities will include, but are not limited to, the following: - Partner with CORE asset leads in development and execution of RWE studies delivered through hands-on analytics execution. - Evaluate new and emerging data modalities (e.g., claims, EHR, social determinants of health, genomics, biomarkers, clinical notes) and conduct feasibility assessments to match study objectives with optimal RWD sources (claims, EHR, registries, patient-generated data). - Execute studies by managing table shells, analytic data file, analysis plan, programming, statistical methods, and quality control per regulatory and scientific standards. - Explore pilots and scale successful AI applications in routine RWD & Epi analytics. - Conduct quality assurance and code validation, review programming code and data - Draft analysis reports and support the final publication/presentation of results. Requirements - Graduate (PhD or Masters) degree in Epidemiology, Biostatistics, Public Health, or related field. - 3+ years’ experience in real-world evidence generation and epidemiology analytics. - Working knowledge of the structure and caveats of healthcare claims databases, electronic medical records and/or hospital billing data, cancer registry data (SEER), linked dataset, etc. - Knowledge in epidemiologic and statistical concepts such as confounding, bias, cumulative incidence, incidence rate, regression models, survival analyses. - Knowledge of research design and an ability to apply appropriate statistical methods common in outcomes research & epidemiology (survival analysis/modeling, regression analysis, IPTW, MAIC, causal inference, etc). - Hands-on proficiency in statistical programming (SAS, R, Python) on real-world oncology claims/EHR data and AI/ML frameworks. - Oncology experience preferred - Ability to work successfully under pressure in a fast-paced environment and with tight timelines - Ability to be proactive, enthusiastic and goal orientated - Strong written and verbal communication skills. - Strong teamwork skills and ability to collaborate well with team members.