Associate Director of Biostatistics within the Medical Analytics and Exploratory Data Science group, focusing on design, analysis, and interpretation of exploratory data, real-world evidence, post-marketing research, and HEOR studies in oncology.
lead statistical analyses using clinical trial data and real-world studies, collaborate with cross-functional teams (clinical, medical, safety, regulatory, commercial), apply advanced statistical methodologies (e.g., survival analysis, causal inference, machine learning), develop analysis plans, review statistical deliverables, and contribute to scientific publications.
Ph.D. or M.S. in Statistics/Biostatistics, minimum 5 years (Ph.D.) or 8 years (M.S.) biostatistics experience in biotech/pharma, expertise in oncology-specific statistical methods, proficiency in SAS/R, strong communication, and project management skills.
knowledge of RWD, HEOR, and advanced modeling approaches.
oncology, exploratory analyses, real-world data, post-marketing research, health economics, and outcomes research.
not specified.
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