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Scientist Machine Learning - Biomolecular Interactions
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Full-time
- From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it.
- We seek a collaborative and highly innovative computational scientist to join our Predictive Sciences team and develop predictive models using cutting-edge machine learning/artificial intelligence techniques to discover novel therapeutic opportunities.
- This position will work alongside colleagues in Informatics & Predictive Sciences (IPS), Protein Homeostasis, Small Molecule Drug Design and other teams in BMS Research, and play a key scientific role in shaping the future of our most advanced therapeutic approaches, primarily focusing on protein degradation, to pursue opportunities beyond the reach of conventional small molecules.
- Develop and apply state-of-the-art artificial intelligence/machine learning algorithms, including geometric deep learning and graph-based models, to predict complex biomolecular interactions and their selectivity.
- Devise AI/ML strategy to predict, or de novo design, small molecule ligands that enhance complex protein-protein interaction interfaces.
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