Senior Machine Learning Scientist, Foundational ML, AI for Biology & Translation (AIBT)
Core
Design and build large-scale foundation models (multimodal generative, LLMs, RL) to accelerate target and drug discovery in biology.
Role type
Senior IC machine learning scientist (foundation models)
Builds
Next-generation foundation models for genomics, perturbation biology, imaging, and multimodal experimental data
Domain
Biopharma / Drug Discovery / Computational Biology
Deliverable
production ML models
Required skills
Deep learning theory, multimodal generative modeling, LLMs, reinforcement learning, Python, PyTorch/JAX, MLOps, system design, software engineering
Preferred skills
Drug discovery applications, biological/chemical modalities (omics, molecular structures), LLM fine-tuning, agentic systems
Technologies
PyTorch, JAX, Python
Responsibilities
Design foundation models for target/drug discovery; Integrate diverse data modalities (sequences, omics, imaging); Scale models to massive datasets; Publish in top-tier ML venues; Collaborate with interdisciplinary teams
Seniority
Senior, hands-on IC
