Bristol Myers Squibb
Scientist, Predictive Biology and AI
Bristol Myers Squibb, Cambridge, Massachusetts, us, 02140
Working with Us
Challenging. Meaningful-seat. 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 workকারী 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 wet‑lab partners to(bounds)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 leaves), diffusion models, and encoder architectures to answer biological domain‑specific questions
Address real‑world biological modelling 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
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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 wet‑lab partners to(bounds)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 leaves), diffusion models, and encoder architectures to answer biological domain‑specific questions
Address real‑world biological modelling 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
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