Bristol-Myers Squibb - San Diego, CA
posted 3 months ago
The Cheminformatics team at Bristol Myers Squibb is seeking an exceptional scientist with a strong interest in leveraging artificial intelligence and machine learning for molecular design. This role is pivotal in utilizing cutting-edge techniques to accelerate the drug discovery process, from hit identification through candidate nomination, and involves active participation in therapeutic projects. The successful candidate will possess a broad knowledge of modern data science methods, particularly in machine learning, to advance multi-objective molecular design efforts. Expertise in generative molecular design, particularly as it applies to therapeutic projects, is highly desirable. The candidate must also have a solid understanding of chemistry and the ability to effectively communicate with collaborative scientists from diverse backgrounds. Key objectives for this position include identifying and employing machine learning methods to optimize chemical structures within the context of therapeutic projects, as well as enabling other scientists within the team to leverage these tools and methods in their own projects. The selected candidate will join a research team known for its impactful contributions across various modalities and therapeutic areas. This is an exciting opportunity to combine physics-based modeling with data analytics and machine learning to accelerate drug discovery and ultimately benefit patients in need. The work environment at Bristol Myers Squibb is characterized by a commitment to diversity and collaboration, where employees are encouraged to grow and thrive through unique opportunities. The company recognizes the importance of work-life balance and offers a variety of competitive benefits and programs to support employees in achieving their personal and professional goals. The Cheminformatics team is dedicated to fostering an inclusive culture that promotes innovation and accountability, ensuring that every employee plays a vital role in transforming patients' lives through science.