Senior Scientist, Next Generation Medicine Design

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 rich in diversity. 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.

Traditional targets and modalities that have historically provided rich opportunities for drug discovery and decades of productive academic and industrial research are gradually giving way to new scientific frontiers. A steady shift is underway in the target and modality landscape, with novel approaches such as targeted protein degradation emerging as particularly exciting and rapidly evolving areas of research.

We seek exceptional scientists who are high-energy, innately curious self-starters with versatile skill sets and the capacity to thrive in a dynamic, fast-paced research environment. Joining the New Leads and Computational Sciences team, you will drive our Protein Homeostasis portfolio by leveraging structure-based and ligand-based computational chemistry methods, data visualization, data analysis, and advanced machine learning and AI techniques. Your goal will be to design molecules demonstrating superior degradation profiles and pharmacological properties.

In close collaboration with multidisciplinary Protein Degrader project teams, you will proactively generate and test scientific hypotheses, design and execute sophisticated computational experiments, deliver thorough analyses, interpret experimental outcomes, and translate insights into actionable molecular designs that meaningfully advance our discovery programs. Your technical expertise, clear communication skills, and collaborative approach will enable you to effectively partner with scientists across the R&D organization, significantly influencing the pipeline from target identification through degrader optimization to candidate nomination.

Responsibilities will include, but are not limited to, the following:

• Lead and influence the strategic application of computational methods to rigorously evaluate therapeutic targets, protein degradation modalities, and novel degrader designs within multidisciplinary project teams.

• Develop and apply a diverse suite of computational chemistry methods to optimize molecules for potency, selectivity, protein degradation efficiency, and favorable ADME properties, while proactively identifying and mitigating potential toxicological risks.

• Partner closely with experimental and project scientists to drive informed decision-making, ensuring computational insights directly support and accelerate project objectives.

• Utilize structural modeling, artificial intelligence (AI), machine learning (ML), statistical analysis, and data visualization techniques to deepen structure-activity relationship (SAR) insights, contributing actively to project strategy and decision-making processes.

• Innovate and apply advanced multi-parameter optimization approaches to identify and enhance biologically relevant molecular features, ensuring optimal therapeutic profiles.

• Provide strategic scientific leadership in target validation and assessment activities, including comprehensive literature and patent reviews, competitive intelligence gathering, chemical feasibility evaluations, and in-depth characterization of target druggability and binding site properties.

• Maintain expertise and continually expand your proficiency in state-of-the-art computational chemistry methods, actively exploring and implementing emerging technologies to enrich and advance our discovery pipeline.

Background Requirements:

• A completed Ph.D. in computational chemistry or a related field with strong application background as demonstrated by contributions to leading journals

• A minimum of 5+ years of