Bristol Myers Squibb is looking to accelerate drug discovery and bring benefit to patients by applying machine learning methods to small molecule discovery projects, focusing on protein degradation.
Requirements
- Strong experience in AI/ML is critical, in addition to experience with cheminformatics, computational chemistry, and/or molecular modeling.
- Computer programming experience, especially with languages such as Python and SQL.
- Practical experience with modern ML/cheminformatics packages (PyTorch, Polars, scikit-learn, RDKit, DeepChem, OEchem) are essential
- end-to-end deployment of molecular-design models in research or production environments is a plus.
- Experience in the critical assessment of experimental data, large dataset handling, and chemistry representations.
- Demonstrated ability to leverage domain knowledge during ML model development in pursuit of novel insights.
Responsibilities
- applying machine learning methods to accelerate lead identification and optimization in therapeutic projects
- disseminating successful approaches across the computational chemistry department to enable uptake and impact across the discovery portfolio
- advance multi-objective molecular design efforts (potency, ADME, safety)
- influence medicinal chemistry through generative molecular design
- combine the best of physics-based modeling with data analytics and machine learning to accelerate drug discovery
Other
- Ph.D. and no experience required, OR Master’s Degree with 3+ years of academic / industry experience, OR Bachelor’s Degree with 5+ years of academic / industry experience.
- sufficient understanding of chemistry and the ability to communicate with collaborative scientists from a broad array of backgrounds.
- This position will operate in a multidisciplinary environment and a willingness to collaborate across functional teams is essential.
- An aptitude and desire to learn and apply new techniques is expected as well as personal attributes of integrity, creativity, problem solving, and a strong work ethic.
- Excellent communication skills are a must.
- Track record of publications in peer-reviewed scientific journals is a plus.
- LI-Hybrid
