Senior Principal Machine Learning Scientist
Core
Develop and advance machine learning methods that learn from and reason across complex biomedical, clinical, molecular, and scientific data to create scientific foundations for drug discovery and development.
Role type
Senior Principal Machine Learning Scientist (Research & Methodology)
Builds
Reusable AI methods, benchmarks, model components, and workflows for Pfizer's R&D organization
Domain
Biopharmaceuticals / Computational Biology / AI for Drug Discovery
Deliverable
production ML models
Required skills
Foundation models, multimodal learning, graph learning, agentic AI, causal ML, uncertainty-aware AI, experimental design, statistical analysis, Python, PyTorch/JAX
Preferred skills
Biological sequence modeling, knowledge graphs, clinical AI, omics data, generative AI
Technologies
PyTorch, JAX, Python, Graph Neural Networks (GNNs)
Responsibilities
Develop and extend advanced AI methods for biomedical research; Design and execute rigorous, reproducible experiments; Set evaluation standards and benchmarks for model robustness and generalization; Translate models into scientific evidence with domain experts; Build shared reusable foundations for cross-therapeutic application; Mentor colleagues and raise AI fluency across R&D
Seniority
Principal, hands-on IC with strategic influence
