Senior Machine Learning Scientist

📋 Description

• Build and evaluate models that predict how coding and non-coding variants affect protein function
• Use variant-effect predictions to interpret somatic selection signals, including whether mutations
• Design, build and evaluate AI agents and agentic workflows that retrieve evidence, run analyses and
• Train, fine-tune or adapt foundation models, language models and representation-learning methods
• Use AI coding tools to speed up development while keeping code readable, tested and reproducible.
• Work as a core member of cross-functional project teams, share ownership of team goals, and

🎯 Requirements

• PhD in machine learning, computer science, computational biology, genomics, bioinformatics
• Strong Python skills and experience building practical deep learning systems (e.g. PyTorch, JAX).
• Experience training, evaluating or applying ML models to complex real-world biological data.
• Understanding of how genetic variants affect protein structure and function, and experience with
• Regular use of AI coding assistants, LLM-based workflows or agentic development tools in your own
• Depth in one or more of the following: biomedical foundation models, AI agents, Perturb-seq or