Clinical Data Scientist/ Methodologist Full-time

Clinical Real World Data Scientist/ Methodologist

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 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 Responsibilities

• 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, longitudinally 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 PubMed, 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 based on medical evidence/guidelines, clinically & contextually relevant
• Work closely with analysts & data scientists to ensure methodological recommendation is realistic and implementable

Cross-Functional Collaboration & Stakeholder Engagement

• Partner 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 lifecycle
• Serve as the methodological point of contact for fit-for-purpose data assessment inquiries from internal stakeholders
• Collaborate 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 expertise
• Manage external data vendors and technology partners (e.g., EHR, claims, registries) to understand data limitations and to verify methodological recommendations when required

NOTE: This role does not conduct real-world evidence studies.

Qualifications

• 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
• Proven teamwork and collaboration skills

Why 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.