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Clinical Data Scientist​/Methodologist

Job in Bridgewater, Plymouth County, Massachusetts, 02324, USA
Listing for: Initial Therapeutics, Inc.
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Clinical Data Scientist/ Methodologist

Clinical Real World Data Scientist/ Methodologist

Location: US Bridgewater / Morristown

About the Job

Join the team protecting half a billion lives every year with next-gen science, mRNA innovation, and AI-driven breakthroughs. In Vaccines, you’ll help advance prevention on a global scale—and shape the future of immunization.

The Data Assessment Center of Excellence (CoE) is a specialized team within Sanofi’s Digital RWD & HI function, operating at the intersection of epidemiology, RWD, data products and insights/evidence generation. The vision of the CoE is to ensure all Sanofians have the right data, used the right way, for real patient impact.

The Clinical RWD Scientist/Methodologist is a critical role within the Data Assessment Center of Excellence (CoE), embedded in Sanofi’s Digital RWD & HI function. This role bridges the gap between theoretical concepts to practical & reliable RWD solutions. You are an agile professional interested with deep subject matter expertise in US RWD, pharmaco-epidemiological methods and a quick learner of new data, methodology, and technology.

You are a proactive team member that values cross-learning, sees challenges as opportunity and can work with assumptions.

About Sanofi

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system and innovative pipeline enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

Main Responsibilities

You will be responsible for designing the methodology to evaluate the fitness-for-purpose of real‑world data (RWD) sources for insights or evidence generation, support the development of reliable RWD Foundation and Products. This role serves as a methodological authority and RWD data domain expert, ensuring best‑in‑class data selection and optimal data usage to generate reliable insights or evidence to better understand gaps in patient care and healthcare provider involvement.

This role is key to ensure data‑driven decisions are reliable, trustworthy, and timely.

Data Assessment & Fitness-for-Purpose Evaluation
  • Lead and execute feasibility assessments for RWD sources (electronic health records, administrative claims, patient registries, wearable/digital health data) to determine suitability for specific research/business objectives
  • Develop and apply structured data assessment frameworks to evaluate data quality dimensions, including accuracy, completeness, validity, timeliness, longitudinal consistency, and integrity
  • Assess the availability and representativeness of patient populations within RWD sources available in Sanofi for both internal decision‑making and regulatory‑grade evidence generation
  • Evaluate the feasibility of extracting structured and unstructured data elements (e.g., clinical scores, patient‑reported outcomes) from EHR systems, including NLP‑based extraction from clinical notes
  • Document assessment outcomes in standardized feasibility reports and communicate findings clearly to cross‑functional stakeholders
  • Identify and articulate limitations of RWD sources, such as proxy endpoint constraints, population coverage gaps
Methodological Design & Optimal RWD Usage
  • Design methodologically sound recommendations & minimize misuse of RWD, leading to unreliable insights or evidence generation
  • Ensure appropriate use of ICD codes, procedure codes, and other medical coding standards (sourced from peer‑reviewed references such as Pub Med, Embase, and Orphanet, etc.) for patient identification, healthcare provider segmentation, clinical site identification, and phenotyping
  • Apply advanced epidemiological and biostatistical methods including propensity score methods, time‑to‑event analyses, sensitivity analyses, and bias assessment
  • Provide methodological input on the use of clinical score proxies and surrogate endpoints in RWD contexts, clearly delineating their applicability for internal versus regulatory/publication use
  • Provide methodology advises ensuring deliverables from RWD Foundation, RWD Science, and RWD Products are…
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