Associate Director, Real World Evidence (RWE) Analytics

Job title: Associate Director, Real World Evidence (RWE) Analytics Location: Morristown, NJ Overview The successful Associate Director will provide programming support and senior oversight to implementation of analyses and studies in large databases such as administrative claims and electronic health records. The role collaborates with health economics and value assessment, medical affairs, business operations & strategy, and commercial product teams to understand research questions and translate them into actionable items for the analytics team. Responsibilities Oversee the implementation of analyses and studies and provide senior support and direction to Data Analysts on the RWE team. Assess study feasibility in a variety of data sources, including new or less familiar data. Propose and conduct exploratory analyses to deepen understanding of a data source at hand (e.g., generating insights and visualizations that allow researchers to make decisions about study feasibility and design). Analyze data based on provided definitions using traditional programming or other digital applications. Characterize disease epidemiology, burden of disease, and rates of pre‑specified outcomes based on diagnostic or treatment codes using descriptive and comparative study designs. Review relevant literature for methods, code lists, and validated algorithms. Create statistical analysis plans and table shells from study protocols. Develop algorithms, such as lines of therapy for oncology. Apply traditional modeling approaches, including regression and time‑to‑event analyses. Report results in the form of study tables, dashboards, or slide decks. Communicate results to stakeholders. Education BA/BS + 5 years of relevant experience OR MS/PhD + 3 years of relevant experience. Academic training in mathematics, statistics, biostatistics, statistical programming, observational research, epidemiology, health economics, or a related quantitative field (preferred). Experience Experience programming in R, Python, and SQL. Working knowledge of statistical methods. Experience applying epidemiological methods. Experience analyzing multiple sources of secondary patient data (e.g., electronic medical records, administrative claims). Experience guiding junior team members through the implementation of analyses. Experience leading studies and analyses that use observational research design and secondary data. Required Skills Expertise with R, Python, and/or SQL. Excellent written and verbal communication skills, collaboration and interpersonal skills. Ability to communicate technical details to non‑expert audiences. Benefits High‑quality health care, prevention and wellness programs. At least 14 weeks of gender‑neutral parental leave. Well‑crafted rewards package that recognizes contributions. Salary $148,500 – $214,500 (commensurate with experience). EEO Statement 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 status, sex, gender, gender identity or expression, sexual orientation, disability, veteran status, or any other characteristic protected by law. #J-18808-Ljbffr Sanofi