- Bothell, Washington, United States
- Hybrid
- Full-time
- $139K–$232K per year
- 2–5 years
Develop and advance machine learning methods that learn from and reason across complex biomedical, clinical, molecular, and scientific data for drug discovery and development.
Compensation
The annual base salary for this position ranges from $139,100.00 to $231,900.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
- Develop Frontier AI Methods for Biomedical Research: Create, adapt, and improve foundation models, multimodal and graph-based approaches, generative methods, and agentic reasoning systems.
- Design and Execute Rigorous Experiments: Form clear hypotheses and design controlled, reproducible experiments.
- Set the Evaluation Standard At Scale: Design the datasets, benchmarks, and validation strategies that show whether a model can be trusted.
- Translate models into scientific evidence: Work with AI engineers, computational biologists, and domain experts to test hypotheses and interpret results, uncertainty, and limitations.
- Build the shared foundation: Develop reusable methods, benchmarks, model components, and workflows, and work with engineering to run them on common infrastructure.
Requirements
- PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Computational Biology, or a related quantitative field
- Master's degree
- Nice to have: 5+ years of relevant relevant industry or research experience