Bristol-Myers Squibb - San Diego, CA
posted 26 days ago
The Associate Director of Cheminformatics Machine Learning & Artificial Intelligence at Bristol Myers Squibb is a pivotal role that combines scientific leadership with cutting-edge technology to enhance the drug discovery process. This position is designed for an exceptional scientific leader who is passionate about utilizing artificial intelligence and machine learning to drive molecular design. The selected candidate will leverage advanced techniques to accelerate the drug discovery process, from hit identification through candidate nomination, and will actively engage in therapeutic projects. In addition to hands-on project involvement, the Associate Director will lead a small team of computational scientists and participate in various matrix teams across the organization. The role requires a broad knowledge of modern data science methods, particularly in machine learning, to advance multi-objective molecular design efforts. Expertise in generative molecular design is essential, as is a comprehensive understanding of drug discovery and chemistry, enabling effective communication with collaborative scientists from diverse backgrounds. The successful candidate will join a research team known for its impactful contributions across multiple therapeutic areas and modalities. This role presents an exciting opportunity to integrate physics-based modeling with data analytics and machine learning, ultimately accelerating drug discovery and benefiting patients. The work environment is multidisciplinary, fostering collaboration across functional teams, and the candidate is expected to have a strong desire to learn and apply new techniques while demonstrating integrity, creativity, problem-solving skills, and a robust work ethic. Excellent communication skills and a track record of publications in peer-reviewed scientific journals are also critical for success in this role.