Scientist, Predictive Biology and AI
Bristol Myers Squibb
5 hours ago
Remote friendly (Seattle, WA)
United States
Clinical Research and Development
Responsibilities:
- Apply, adapt, and sometimes create multi-modal foundation models (e.g., LLMs, diffusion models, encoder architectures) to answer biological domain-specific questions
- Address real-world biological modeling challenges (data sparsity, class imbalance, noise, experimental bias, heterogeneity of effects)
- Perform thoughtful model evaluation using appropriate benchmarks, statistical tests, and problem understanding to support technical and business decisions
- Collaborate closely with 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 with 5+ years of academic/industry experience
- OR Master’s degree with 3+ years of academic/industry experience
- OR PhD (no experience required)
Preferred Qualifications:
- PhD with 0+ years industry research experience OR MS with 3+ years industry research experience in computer science, statistics, computational biology, or another quantitative field
- Expert-level experience with deep learning tools/approaches (transformer-based encoders/decoders, LLMs, reinforcement learning, etc.) via publications/projects
- Hands-on experience leading building/scaling of deep learning training pipelines on multi-GPU infrastructure using PyTorch and Huggingface and/or other tools
- Ability to learn biological concepts/data types and work/communicate effectively with biologists
- Excellent verbal and written communication skills (fluent English)
- Experience building agentic workflows (plus)
- Prior pharmaceutical application experience (plus)
Compensation & Benefits (as stated):
- Starting compensation ranges by location: Brisbane ($141,150–$171,042), Cambridge Crossing ($141,150–$171,042), Princeton ($122,740–$148,732), San Diego ($135,010–$163,605), Seattle ($135,010–$163,605)
- Health, wellbeing, financial protection programs; 401(k), short/long-term disability, life insurance, and Paid Time Off (including flexible time off and holiday/vacation details as described)
Application Instructions:
- Apply even if the role doesn’t fully match your resume.
- Apply, adapt, and sometimes create multi-modal foundation models (e.g., LLMs, diffusion models, encoder architectures) to answer biological domain-specific questions
- Address real-world biological modeling challenges (data sparsity, class imbalance, noise, experimental bias, heterogeneity of effects)
- Perform thoughtful model evaluation using appropriate benchmarks, statistical tests, and problem understanding to support technical and business decisions
- Collaborate closely with 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 with 5+ years of academic/industry experience
- OR Master’s degree with 3+ years of academic/industry experience
- OR PhD (no experience required)
Preferred Qualifications:
- PhD with 0+ years industry research experience OR MS with 3+ years industry research experience in computer science, statistics, computational biology, or another quantitative field
- Expert-level experience with deep learning tools/approaches (transformer-based encoders/decoders, LLMs, reinforcement learning, etc.) via publications/projects
- Hands-on experience leading building/scaling of deep learning training pipelines on multi-GPU infrastructure using PyTorch and Huggingface and/or other tools
- Ability to learn biological concepts/data types and work/communicate effectively with biologists
- Excellent verbal and written communication skills (fluent English)
- Experience building agentic workflows (plus)
- Prior pharmaceutical application experience (plus)
Compensation & Benefits (as stated):
- Starting compensation ranges by location: Brisbane ($141,150–$171,042), Cambridge Crossing ($141,150–$171,042), Princeton ($122,740–$148,732), San Diego ($135,010–$163,605), Seattle ($135,010–$163,605)
- Health, wellbeing, financial protection programs; 401(k), short/long-term disability, life insurance, and Paid Time Off (including flexible time off and holiday/vacation details as described)
Application Instructions:
- Apply even if the role doesn’t fully match your resume.