Bristol Myers Squibb’s Computational Sciences group is seeking a Principal Scientist for its Small Molecule Computational Design team. The scientist will serve on multidisciplinary Protein Homeostasis project teams, using computational chemistry, cheminformatics, and machine learning to generate and test scientific hypotheses and translate them into actionable molecular designs that advance discovery programs. The role combines structure-based drug design with data-driven modeling and analysis, with accountability for delivering computational objectives for assigned programs. The position involves designing and prioritizing degrader and molecular glue chemical matter; applying multi-parameter optimization to improve potency, selectivity, ternary complex formation and cooperativity, degradation efficiency, and ADME properties; and identifying potential toxicological risks. The scientist will develop and deploy predictive models and cheminformatics workflows, integrate structural information with large-scale data analysis, and steward chemical and biological data resources and reusable analysis infrastructure. The role also provides scientific leadership, mentorship, and internal and external scientific visibility through publications, presentations, and patent applications.
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Job Type
Full-time
Career Level
Principal