Scientist, Predictive Biology and AI

Bristol Myers Squibb • Princeton, NJ

51d

About The Position

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.

Requirements

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

Nice To Haves

• 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

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

Benefits

• Medical, pharmacy, dental and vision care.
• Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP).
• Financial well-being resources and a 401(K).
• Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support.
• Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility.
• Parental, caregiver, bereavement, and military leave.
• Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources.
• Other perks like tuition reimbursement and a recognition program.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Chemical Manufacturing
• Number of Employees: 5,001-10,000 employees