Job Description

Job Description

Only local candidate needed. NO C2C

Please do not apply if you are staying outside of New Jersey.

Job Title: Senior Scientist-Health Economic Resources and Epidemiology

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.

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:

• Oncology experience

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