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Senior Scientist-Health Economic Resources
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Scientist-Health Economic Resources in Plainsboro, NJ (Hybrid) for 6+ months, paying an undisclosed rate. Requires a graduate degree, 3+ years in RWE and epidemiology, and proficiency in SAS, R, and Python. Oncology experience preferred.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
488
-
ποΈ - Date
December 25, 2025
π - Duration
More than 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Plainsboro, NJ
-
π§ - Skills detailed
#AI (Artificial Intelligence) #Quality Assurance #Regression #SAS #Datasets #Programming #Python #R #ML (Machine Learning) #Statistics #Databases #Compliance
Role 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
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
β’ Support implementation of strategies to demonstrate unmet disease needs with outcomes meaningful to payers, clinical decision-makers, and regulators.
β’ Assist with research to generate evidence supporting:
β’ Product differentiation and value for commercial and market access needs
β’ Clinical development, regulatory, and safety requirements through RWE and epidemiology studies
β’ Partner with CORE asset leads to design and execute RWE studies through hands-on analytics.
β’ 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.
β’ Execute studies including development of table shells, analytic datasets, analysis plans, programming, statistical methods, and quality control in compliance with regulatory and scientific standards.
β’ Manage projects and external vendors/partners supporting CORE initiatives.
β’ Conduct quality assurance, code validation, and programming review.
β’ Explore, pilot, and scale AI-driven analytics applications within RWD and epidemiology workflows.
β’ Draft analysis reports and support publications and presentations at scientific conferences and forums.
β’ Collaborate cross-functionally with development, commercial, market access, safety, legal, and medical affairs teams.
β’ Support communication and publication strategies for assigned products.
Required:
β’ Graduate degree (PhD or Masterβs) in Epidemiology, Biostatistics, Public Health, or a related field.
β’ 3+ years of experience in real-world evidence generation and epidemiology analytics.
β’ Working knowledge of healthcare data sources, including:
β’ Claims databases
β’ Electronic health records (EHR)
β’ Hospital billing data
β’ Cancer registries (e.g., SEER)
β’ Linked and longitudinal datasets
β’ Strong understanding of epidemiologic and statistical concepts (e.g., confounding, bias, incidence, regression models, survival analysis).
β’ Experience applying statistical methods used in outcomes research and epidemiology, such as:
β’ Survival analysis and modeling
β’ Regression analysis
β’ IPTW, MAIC, and causal inference techniques
β’ Hands-on proficiency in statistical programming (SAS, R, Python) using real-world oncology claims/EHR data.
β’ Experience with AI/ML frameworks applied to healthcare data.
Preferred:
β’ Oncology experience
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
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
β’ Support implementation of strategies to demonstrate unmet disease needs with outcomes meaningful to payers, clinical decision-makers, and regulators.
β’ Assist with research to generate evidence supporting:
β’ Product differentiation and value for commercial and market access needs
β’ Clinical development, regulatory, and safety requirements through RWE and epidemiology studies
β’ Partner with CORE asset leads to design and execute RWE studies through hands-on analytics.
β’ 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.
β’ Execute studies including development of table shells, analytic datasets, analysis plans, programming, statistical methods, and quality control in compliance with regulatory and scientific standards.
β’ Manage projects and external vendors/partners supporting CORE initiatives.
β’ Conduct quality assurance, code validation, and programming review.
β’ Explore, pilot, and scale AI-driven analytics applications within RWD and epidemiology workflows.
β’ Draft analysis reports and support publications and presentations at scientific conferences and forums.
β’ Collaborate cross-functionally with development, commercial, market access, safety, legal, and medical affairs teams.
β’ Support communication and publication strategies for assigned products.
Required:
β’ Graduate degree (PhD or Masterβs) in Epidemiology, Biostatistics, Public Health, or a related field.
β’ 3+ years of experience in real-world evidence generation and epidemiology analytics.
β’ Working knowledge of healthcare data sources, including:
β’ Claims databases
β’ Electronic health records (EHR)
β’ Hospital billing data
β’ Cancer registries (e.g., SEER)
β’ Linked and longitudinal datasets
β’ Strong understanding of epidemiologic and statistical concepts (e.g., confounding, bias, incidence, regression models, survival analysis).
β’ Experience applying statistical methods used in outcomes research and epidemiology, such as:
β’ Survival analysis and modeling
β’ Regression analysis
β’ IPTW, MAIC, and causal inference techniques
β’ Hands-on proficiency in statistical programming (SAS, R, Python) using real-world oncology claims/EHR data.
β’ Experience with AI/ML frameworks applied to healthcare data.
Preferred:
β’ Oncology experience






