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.

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 .

Scientist, Predictive Biology and AI

LOCATION

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

Overview

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 wetlab partners to both test and deliver our predictions into the pipeline as well as integrate the data they generate into our models. We seek a collaborative AI expert possessing skills spanning machine learning and statistics as well as 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.

Responsibilities

• 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
• Thoughtful model evaluation that incorporates appropriate benchmarks, statistical tests, and problem understanding to support technical and business decisions
• Work in close collaboration 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

Basic Qualifications

• Bachelor's Degree 5+ years of academic / industry experience
• Or Master's Degree 3+ years of academic / industry experience
• Or PhD No experience required

Preferred Qualifications

• A 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, Huggingface, 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. Fluent verbal and written English language skills prerequisite
• Experience building agentic workflows is a plus
• Prior experience in pharmaceutical application areas is a plus

If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Compensation Overview:

Brisbane - CA - US: $141,150 - $171,042

Cambridge Crossing: $141,150 - $171,042

Princeton - NJ - US: $122,740 - $148,732

San Diego - CA - US: $135,010 - $163,605

Seattle - WA: $135,010 - $163,605

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.

Benefit Offerings Are Subjec