Principal Scientist, Computational Biology

Role: Principal Scientist in Computational Biology within BMS's Informatics and Predictive Sciences, focusing on neuroscience, immunology, and cardiovascular research. The primary objective is to leverage advanced computational methods to analyze multi-omics and spatial profiling datasets, supporting early pipeline programs and target discovery. Responsibilities include designing and performing integrative analyses of transcriptomic, proteomic, single cell, and spatial data; applying machine learning and statistical approaches to identify therapeutic targets; collaborating with external academic and industry partners; and communicating findings to cross-functional teams. Qualifications: PhD in computational biology, genomics, or related field with at least 5 years post-graduate experience; proficiency in R or Python; experience analyzing high-dimensional molecular datasets and applying machine learning to biological questions. Preferred skills include a strong publication record, experience with multi-omics integration, human disease biology expertise—particularly autoimmune diseases—and familiarity with AI tools like computer vision models or AI agents such as Claude. High-value specifics: focus on early-stage discovery in NIC therapeutic areas, employing cutting-edge computational methods, with collaborative engagement across external partners. Location: Cambridge, MA, on-site; no remote option. The role emphasizes innovation, cross-disciplinary teamwork, and translating computational insights into therapeutic advances in complex disease areas.