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The Clinical RWD Scientist 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 in challenging the status quo 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, see challenges as opportunity and can work with assumptions.
Job Responsibility:
Design and execute rigorous data assessment frameworks
Evaluating the fitness-for-purpose of real-world data (RWD) sources for insights or evidence generation across the enterprise
Support the development of reliable RWD Foundation and Products
Lead and execute feasibility assessments for RWD sources
Develop and apply structured data assessment frameworks to evaluate data quality dimensions
Assess the availability and representativeness of patient populations within RWD sources
Evaluate the feasibility of extracting structured and unstructured data elements from EHR systems
Document assessment outcomes in standardized feasibility reports and communicate findings clearly to cross-functional stakeholders
Identify and articulate limitations of RWD sources
Design methodologically sound recommendations & minimize misuse of RWD
Ensure appropriate use of ICD codes, procedure codes, and other medical coding standards
Apply advanced epidemiological and biostatistical methods
Provide methodological input on the use of clinical score proxies and surrogate endpoints
Provide methodology advises ensuring deliverables from RWD Foundation, RWD Science, and RWD Products are based on medical evidence/guidelines
Work closely with analysts & data scientists to ensure methodological recommendation is realistic and implementable
Partner with R&D, Business units & Digital teams on data identification and appropriate usage of RWD
Serve as the methodological point of contact for fit-for-purpose data assessment inquiries
Collaborate with RWD Foundation, RWD Product Owners, RWD Data Sciences
Manage external data vendors and technology partners
Requirements:
Advanced degree (Master's or PhD) in Epidemiology, Biostatistics, Health Informatics, Health Economics, Pharmacoepidemiology, or a closely related quantitative discipline
Minimum 4-5 years for Master’s degree holder or 2-4 years for Doctoral degree holder of relevant experience in real-world data, commercial analytics, real-world evidence, health outcomes research, fit-for-purpose feasibility assessment, data quality assessment or a related field within the pharmaceutical, biotech, or health technology industry
Experience in predictive modeling using RWD to identify at risk patient populations with a publication record in peer-review journals
Experience in patient & healthcare provider segmentation to inform Medical and Commercial strategy
Demonstrated expertise in epidemiological study design and statistical methods such as propensity score matching, descriptive statistics, regression analysis, predictive modelling
Strong proficiency in statistical programming languages: SQL, Python, R, and/or SAS
Solid working knowledge of Snowflake for database querying and data extraction
Familiarity with medical coding systems: ICD-10, CPT, SNOMED CT, LOINC, RxNorm and experience/knowledge on OHDSI OMOP CDM standardized data model for healthcare data
Understanding of US EHR, claims, disease registry data, public health surveillance data as well as US healthcare billing system
Experience with AI coding tools such as Cursor, GitHub Copilot, Claude, LLM
Knowledge of automation tools such as Power Automate, Power App (an asset not required)
Requires a high level of interactive communication with diverse stakeholders
Can work with assumptions & in a fast-paced environment