We are looking for a candidate with strong computational, statistical, and data engineering capabilities and a demonstrated track record of working with real-world data (RWD), including electronic health records (EHR), claims data, patient registries, and other real-world evidence (RWE) sources, to generate actionable insights that inform clinical trial design and treatment evaluation. D. in a relevant quantitative field (e.g., Biostatistics, Epidemiology, Data Science, Computer Science, Computational Biology, Biomedical Informatics, or related field) and 1+ years of academic/industry experience; or Master's Degree in a relevant quantitative field and 3+ years of industry experience.