The Senior Scientist will advance AI-enabled de novo antibody discovery through iterative design-build-test-learn cycles, combining antibody discovery, structural biology, and computational methods to translate target protein structure into discovery campaigns.
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.
- Lead de novo antibody discovery and optimization campaigns from target and epitope assessment through design, screening, iteration, and hit selection.
- Develop integrated computational and experimental screening strategies for de novo designs, including candidate prioritization, library design, multiplexing, and recombinant and display-based approaches.
- Critically evaluate experimental and predicted structural models to prioritize biologically relevant epitopes and guide discovery strategies.
- Integrate computational, structural, binding, functional, and developability data to inform campaign iteration and binder advancement decisions.
- Rapidly prototype computational workflows that address antibody discovery and optimization needs.
- Bachelor’s Degree
- Master’s Degree
- PhD
- PharmD
- Nice to have: Protein engineering
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