Principal Scientist, Translational Informatics and Predictive Sciences

Role: Principal Scientist in Translational Informatics and Predictive Sciences at BMS, focusing on applying computational, bioinformatics, and machine learning approaches to large-scale clinical and real-world datasets in solid tumor oncology. Responsibilities: analyze high-dimensional molecular data (e.g., genomics, proteomics), develop predictive models, generate mechanistic insights, and partner with biomarker scientists and clinical teams to inform treatment response and resistance mechanisms. Provide scientific leadership, mentorship, and communicate complex analyses to cross-functional stakeholders. Qualifications: Bachelor's (8+ yrs), Master's (6+ yrs), or PhD (4+ yrs) with expertise in high-throughput molecular data and proficiency in R/Python, AI, and statistics. Preferred: experience with spatial ’omics, oncology, and drug development in translational sciences or clinical settings. High-value specifics: oncology (solid tumors), translational research, biomarker discovery, AI/ML applications, and collaboration across R&D stages. Work setup: not specified, but the role involves cross-functional engagement within BMS's research environment.