Scientist, Predictive Biology and AI

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.

• Seattle, WA
• Brisbane, CA
• San Diego, CA
• Cambridge, MA
• Princeton, NJ

The Predictive Biology and AI (PBAI) team within BMS Research develops and applies cutting‑edge methods to address patient needs and answer fundamental questions in Oncology, Neuroscience, and other application areas. We work closely with our wet‑lab partners to test and deliver predictions into the pipeline and to integrate the data they generate into our models. We seek a collaborative AI expert spanning machine learning, statistics, and a passion for addressing unmet patient needs.

The successful candidate will thoughtfully evaluate and adapt state‑of‑the‑art AI models and techniques to challenges in cell engineering and target discovery. The role offers the opportunity to impact directly the delivery of truly transformational and life‑changing therapies in key diseases of unmet medical need.

• Apply, adapt, and in some cases create multi‑modal foundation models such as large language models (LLMs), diffusion models, and encoder architectures to answer biological domain‑specific questions.
• Address real‑world biological modeling challenges such as data sparsity, class imbalance, noise, experimental bias, and heterogeneity of effects.
• Perform thoughtful model evaluation that incorporates appropriate benchmarks, statistical tests, and problem understanding to support technical and business decisions.
• Collaborate closely with partners across the organization—including wet‑lab scientists, Research IT, and other computational scientists—to broaden the impact of AI developments.
• Maintain and share up‑to‑date knowledge of modern advances in the field, including presenting work at public conferences.

• Bachelor’s Degree with 5+ years of academic or industry experience.
• Master’s Degree with 3+ years of academic or industry experience.
• PhD with any years of experience (no minimum).

• Ph.D. with 0+ years industry research experience or an M.S. with 3+ years industry research experience in computer science, statistics, computational biology, or another quantitative field.
• Expert‑level understanding of and experience using deep learning tools and approaches (transformer‑based encoders/decoders, LLMs, reinforcement learning, etc.) as demonstrated through publications or projects.
• Hands‑on experience leading the building and scaling of deep learning training pipelines on multi‑GPU computational infrastructure using PyTorch, Hugging Face, and/or other tools.
• Knowledge of or the ability to learn biological concepts and data types, including the ability to work and communicate effectively with biologists.
• Excellent verbal and written communication skills. Fluency in English is required.
• Experience building agentic workflows is a plus.
• Prior experience in pharmaceutical application areas is a plus.

• Brisbane, CA – $141,150 – $171,042
• Cambridge, MA – $141,150 – $171,042
• Princeton, NJ – $122,740 – $148,732
• San Diego, CA – $135,010 – $163,605
• Seattle, WA – $135,010 – $163,605

The starting compensation ranges listed above apply to full‑time employees. Additional incentive cash and stock opportunities (based on eligibility) may be available. Final individual compensation will be determined based on demonstrated experience.

• Health Coverage:
  Medical, pharmacy, dental, and vision care.
• Wellbeing Support: BMS Well‑Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
• Financial Well‑being and Protection: 401(k) plan, short‑ and long‑term disability, life insurance, accident…