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. Requirements 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. #J-18808-Ljbffr Jobtailor