Data Scientist

Clinical Real World Data Scientist/ MethodologistJoin 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 has 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, see challenges as opportunity and can work with assumptions.Join the digital engine driving Sanofi's transformation - where AI, automation, and bold experimentation power faster science and smarter decisions. Here, you'll help build the first biopharma company powered by AI at scale.Main ResponsibilitiesLead 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 objectivesDevelop and apply structured data assessment frameworks to evaluate data quality dimensions, including accuracy, completeness, validity, timeliness, longitudinally consistency, and integrityAssess the availability and representativeness of patient populations within RWD sources available in Sanofi for both internal decision-making and regulatory-grade evidence generationEvaluate 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 notesDocument assessment outcomes in standardized feasibility reports and communicate findings clearly to cross-functional stakeholdersIdentify and articulate limitations of RWD sources, such as proxy endpoint constraints, population coverage gapsMethodological Design & Optimal RWD UsageDesign methodologically sound recommendations & minimize misuse of RWD, leading to unreliable insights or evidence generationEnsure appropriate use of ICD codes, procedure codes, and other medical coding standards (sourced from peer-reviewed references such as PubMed, Embase, and Orphanet, etc.) for patient identification, healthcare provider segmentation, clinical site identification, and phenotypingApply advanced epidemiological and biostatistical methods including propensity score methods, time-to-event analyses, sensitivity analyses, and bias assessmentProvide methodological input on the use of clinical score proxies and surrogate endpoints in RWD contexts, clearly delineating their applicability for internal versus regulatory/publication useProvide methodology advises ensuring deliverables from RWD Foundation, RWD Science, and RWD Products are based on medical evidence/guidelines, clinically & contextually relevantWork closely with analysts & data scientists to ensure methodological recommendation is realistic and implementableCross-Functional Collaboration & Stakeholder EngagementPartner with R&D, Business units (Vaccines, General Medicine and Specialty Care) & Digital teams on data identification and appropriate usage of RWD for insights / evidence generation across drug lifecycleServe as the methodological point of contact for fit-for-purpose data assessment inquiries from internal stakeholdersCollaborate with RWD Foundation, RWD Product Owners, RWD Data Sciences to ensure RWD are used appropriately to inform reliable decision making & to provide knowledge transfer on data domain expertiseManage external data vendors and technology partners (e.g., EHR, claims, registries) to understand data limitations and to verify methodological recommendations when requiredNOTE: This role does not conduct real-world evidence studies.QualificationsAdvanced degree (Master's or PhD) in Epidemiology, Biostatistics, Health Informatics, Health Economics, Pharmacoepidemiology, or a closely related quantitative disciplineMinimum 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 industryExperience in predictive modeling using RWD to identify at risk patient populations with a publication record in peer-review journalsExperience in patient & healthcare provider segmentation to inform Medical and Commercial strategyDemonstrated 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 SASSolid working knowledge of Snowflake for database querying and data extractionFamiliarity with medical coding systems: ICD-10, CPT, SNOMED CT, LOINC, RxNorm and experience/knowledge on OHDSI OMOP CDM standardized data model for healthcare dataUnderstanding of US EHR, claims, disease registry data, public health surveillance data as well as US healthcare billing systemExperience with AI coding tools such as Cursor, GitHub Copilot, Claude, LLMKnowledge of automation tools such as Power Automate, Power App (an asset not required)Requires a high level of interactive communication with diverse stakeholdersCan work with assumptions & in a fast-paced environmentProven teamwork and collaboration skillsWhy Choose Us?Bring the miracles of science to life alongside a supportive, future focused team.Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.Join the digital force behind Sanofi's AI-powered pipeline, where Expert, Generative, and Snackable AI accelerate the discovery, development and delivery of breakthrough treatments to patients.Help reduce time from discovery to commercialization, delivering life-changing medicines to patients faster than ever.Benefit from pioneering partnerships with OpenAI, AQEMIA, IBM, and others.Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.