1042-Senior Real-World Evidence (RWE) Analyst / Programmer-REMOTE-FTE

Bachelor's or Master's degree in Biostatistics, Statistics, Epidemiology, Computer Science, or a related field. 5+ years of experience in statistical programming within life sciences. At least 3 years in RWE or observational research. Strong programming experience in SAS and R. Hands-on experience with real-world data sources (e.g., MarketScan, Optum, Flatiron, IQVIA, Cerner). Strong knowledge of epidemiologic and statistical methods used in observational research. Experience with regression models, survival analysis, propensity score techniques, etc. Ability to interpret results and generate insights that are meaningful to cross-functional teams. Excellent communication skills and ability to work independently. Familiarity with clinical trial data and integration with RWD. Knowledge of data visualization in R (ggplot2, Shiny, etc.). Experience working in pharma/biotech or CRO setting. Understanding of FDA and EMA guidelines on RWE.

Design and execute statistical programming to support real-world evidence studies. Work with observational datasets such as claims, EHR, and registries. Apply appropriate statistical methodologies (e.g., propensity score matching, regression modeling, survival analysis). Develop, validate, and maintain reusable SAS and R macros or functions. Collaborate with epidemiologists, statisticians, and HEOR experts on study design and data interpretation. Contribute to protocol development, statistical analysis plans (SAPs), and final reports or publications. Ensure compliance with data governance, privacy (e.g., HIPAA), and company policies.