Principal Scientist, Computational Sciences - Protein Structure Prediction and Design

Job Description

Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. 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. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us. About the role We are seeking an experienced, creative, and highly collaborative scientist to join our Biotherapeutics Computational Design team. In this role, you will build and deploy cutting edge machine learning and structure-based methods to accelerate biologics discovery across our preclinical portfolio (antibodies, multispecifics, ADCs, and novel scaffolds) and play a pivotal role in scaling an agentic antibody design platform from prototype to a core engine of research innovation. This position offers a unique opportunity to work at the intersection of machine learning, structural biology, and drug discovery. You will leverage large-scale proprietary and public datasets and collaborate with cross-functional teams of scientists to address complex challenges in biologics discovery and engineering. Your contributions will directly support and accelerate the development of next-generation therapies. At Bristol Myers Squibb, we are driven by a shared mission: to deliver innovative, life-changing medicines for patients facing complex diseases with unmet medical nee…