Senior Manager, Data Scientist

Role: Senior Manager – Data Scientist within BMS's drug development data science team, focusing on advancing global drug development via computational, statistical, and biological data analysis. Responsibilities include developing novel or existing algorithms for patient segmentation using multimodal clinical and omics data, partnering with statisticians on biomarker and diagnostic strategies, executing analyses on clinical trial and real-world datasets, and developing predictive models for precision medicine. The role involves collaborating across teams including clinicians, data scientists, and IT, and managing resources to ensure high-quality, timely deliverables. Requirements: Ph.D. in a quantitative field (Computational Biology, Biostatistics, etc.) with 1+ years (Ph.D.) or 3+ years (Master’s) industry experience, expertise in analyzing omics/molecular data, proficiency in SQL, Python, R, and familiarity with cloud platforms, and knowledge of disease pathways is preferred. High-value: Emphasis on biomarker discovery, predictive modeling, multimodal data integration, and support of drug development strategies. The position is onsite, with potential for hybrid work, and involves cross-functional collaboration in a fast-paced pharma R&D environment.