- Foster City, California, United States
- Senior
- $169K–$219K per year
Lead the development of AI/ML methods for biologics design, integrating protein science and drug discovery to accelerate therapeutic candidate optimization.
Compensation
The salary range for this position is: $169,320.00 - $219,120.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package.
Responsibilities
- Develop novel machine learning approaches to support biologics discovery and lead optimization.
- Apply and extend protein language models, foundation models, and representation learning methods for therapeutic protein design.
- Build predictive models linking sequence, structure, and experimental measurements to key molecular properties.
- Develop structure-aware learning approaches that incorporate protein conformation, interfaces, and molecular context.
- Design and evaluate generative methods for exploring protein sequence space and proposing improved therapeutic candidates.
Requirements
- Ph.D. in Computational Biology, Machine Learning, Computer Science, Structural Biology, Biophysics, Bioengineering, or a related quantitative field
- Nice to have: protein language models and foundation models for proteins or antibodies
- Nice to have: AlphaFold-class models
- Nice to have: inverse folding methods