Senior Machine Learning Research Scientist
Core
Develop and advance machine learning methods that learn from and reason across complex biomedical, clinical, molecular, and scientific data to accelerate drug discovery and development.
Role type
Senior Machine Learning Research Scientist (Biomedical AI)
Builds
Foundation models, multimodal and graph-based approaches, generative methods, and agentic reasoning systems for pharmaceutical R&D
Domain
Biotechnology / Pharmaceutical R&D / Computational Biology
Deliverable
research
Required skills
Python, PyTorch, JAX, Model development, Experimental design, Statistical analysis, Multimodal learning, Foundation models, GNNs, Generative AI, Agentic systems, Biological sequence modeling, Knowledge graphs, Clinical AI, Omics data
Preferred skills
Life sciences AI experience, Biological/molecular/imaging/clinical data handling, Responsible AI implementation
Technologies
PyTorch, JAX, Python
Responsibilities
Develop frontier AI methods for biomedical research; Design and execute rigorous experiments; Set evaluation standards at scale; Translate models into scientific evidence; Build shared reusable foundations; Raise the scientific bar through mentorship
Seniority
Senior, hands-on IC with research leadership
