Senior Scientist, Predictive Biology – AI

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.

• Bachelor's Degree
• 7+ years of academic / industry experience
• Or Master's Degree 5+ years of academic / industry experience
• Or PhD 2+ years of academic / industry experience
• 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.
• Prior experience in pharmaceutical application areas is a plus.