Job Title: Senior Scientist-Health Economic Resources
Location: Plainsboro, NJ 08536 (Hybrid)
Duration: 6+ Months
Position Overview
We are seeking a Senior Scientist, Health Economic Resources / Real-World Evidence (RWE) to support the design, execution, and communication of observational studies using diverse real-world data (RWD) sources. This role focuses on generating evidence to demonstrate unmet medical need, product value, and differentiation for clinical development, market access, regulatory, and health-policy decision-making.
This position supports the Center for Outcomes Research, Real World Evidence and Epidemiology (CORE) and reports to the Head of RWD & Epidemiology Analytics. The role requires strong technical expertise in epidemiology, advanced analytics, and AI-driven methodologies.
Key Responsibilities
- Support implementation of strategies to demonstrate unmet disease needs with outcomes meaningful to payers, clinical decision-makers, and regulators.
- Assist with research to generate evidence supporting:
- Product differentiation and value for commercial and market access needs
- Clinical development, regulatory, and safety requirements through RWE and epidemiology studies
- Partner with CORE asset leads to design and execute RWE studies through hands-on analytics.
- Evaluate and assess emerging data modalities (e.g., claims, EHR, registries, social determinants of health, genomics, biomarkers, clinical notes) to ensure optimal data-source selection.
- Execute studies including development of table shells, analytic datasets, analysis plans, programming, statistical methods, and quality control in compliance with regulatory and scientific standards.
- Manage projects and external vendors/partners supporting CORE initiatives.
- Conduct quality assurance, code validation, and programming review.
- Explore, pilot, and scale AI-driven analytics applications within RWD and epidemiology workflows.
- Draft analysis reports and support publications and presentations at scientific conferences and forums.
- Collaborate cross-functionally with development, commercial, market access, safety, legal, and medical affairs teams.
- Support communication and publication strategies for assigned products.
Qualifications
Required:
- Graduate degree (PhD or Master’s) in Epidemiology, Biostatistics, Public Health, or a related field.
- 3+ years of experience in real-world evidence generation and epidemiology analytics.
- Working knowledge of healthcare data sources, including:
- Claims databases
- Electronic health records (EHR)
- Hospital billing data
- Cancer registries (e.g., SEER)
- Linked and longitudinal datasets
- Strong understanding of epidemiologic and statistical concepts (e.g., confounding, bias, incidence, regression models, survival analysis).
- Experience applying statistical methods used in outcomes research and epidemiology, such as:
- Survival analysis and modeling
- Regression analysis
- IPTW, MAIC, and causal inference techniques
- Hands-on proficiency in statistical programming (SAS, R, Python) using real-world oncology claims/EHR data.
- Experience with AI/ML frameworks applied to healthcare data.
Preferred:
Pay: $60.00 - $61.00 per hour
Expected hours: 40.0 per week
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Vision insurance
Work Location: Hybrid remote in Plainsboro, NJ 08536
