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Bristol Myers Squibb is seeking a Principal Scientist in San Diego to drive computational design for Protein Homeostasis programs. You will apply structure-based and data-driven methods to advance degrader chemistry, build predictive models, and mentor teams across multidisciplinary projects.
Ideal candidates bring deep expertise in computational chemistry, cheminformatics, and machine learning, with proven impact on small molecule discovery in biotech or pharma.
At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.
Computational Sciences is seeking an exceptional Principal Scientist to join our Small Molecule Computational Design team. Using computational chemistry, cheminformatics, and machine learning, you will work as a member of our multidisciplinary Protein Homeostasis project teams to proactively generate and test scientific hypotheses and directly translate those into actionable molecular designs that meaningfully advance our discovery programs. We are looking for a scientist who is equally excited about building a structural model as they are to build the machine learning model, dataset, or analysis that influences how an entire program reasons about its chemistry. If you thought you had to choose between structure-based design and cheminformatics and would rather not, this position was written for you.
We’re seeking an experienced, innovative scientist that passionate about the role of computation in drug design. The ideal candidate will bring:
Strong history of directly impacting small molecule discovery programs in biotech or pharmaceutical industry, with a solid working knowledge of medicinal chemistry principles.
Demonstrated hands‑on depth across both computer‑aided drug design and cheminformatics/machine learning. This dual capability is the defining requirement of the role.
Experience with targeted protein degradation, molecular glues, or other induced‑proximity modalities — including ternary complex modeling, cooperativity assessment, or E3 ligase chemical space — is preferred.
Demonstrated experience applying computational methods to a variety of biological targets (e.g., proteins, DNA, RNA) and familiarity with diverse therapeutic modalities such as covalent and non‑covalent inhibitors, allosteric modulators, targeted protein degraders, antibodies, and antibody‑drug conjugates.
Superior communication skills and a collaboriative mindset that thrives in multidisciplinary and geographically dispared project teams.
Track record of publications in peer‑reviewed scientific journals.
San Diego - CA - US: $156,890 - $190,117
The starting pay range(s) listed above is for full‑time employees (FTE). You may also be eligible for additional discretionary incentive cash and stock opportunities. We determine starting pay thoughtfully – carefully considering the nature of the role, required skills, work location, schedule and the knowledge and experience you bring. Final compensation is guided by pay equity principles and applicable employment laws. Compensation programs are reviewed on an ongoing basis and may be adjusted over time to reflect evolving market factors, and individual, team or Company performance.
Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site‑essential, site‑by‑design, field‑based and remote‑by‑design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.
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We’re creating innovative medicines for patients fighting serious diseases. We’re also nurturing our own diverse team with inspiring work and challenging career options. No matter the role, each one of us makes a contribution. And that makes all the difference.