Senior / Principal Scientist, AI for Protein Engineering
$268,000–$358,000 year
On-site · San Francisco, California, United States
Job Summary
Senior/Principal Scientist focusing on antibody design and engineering in AI-powered protein engineering. Own design and engineering workflows for antibody campaigns, including de novo design, affinity maturation, and developability optimization; translate campaign requirements into ML problem definitions; extend state-of-the-art AI methods to biomolecule design; collaborate with Life Science Research on design validation and active learning loops; expand platform to enzymes and peptides as needed. PhD in a quantitative field with proven track record of AI-driven wet-lab-validated biomolecule design; strong ML and protein biology fluency; independent program leadership; collaboration across ML/biology; bonus for experience in antibodies/nanobodies, structure prediction, diffusion-based design, and open-source contributions; compensation includes base salary range $268k–$358k USD with benefits for U.S. employees.
Required Qualifications
- PhD in Computational Biology, Computer Science, Machine Learning, Biophysics, or a related quantitative field
- Proven track record of successful design of wet-lab-validated biomolecules through AI, with industry experience strongly preferred
- Deep ML expertise with the ability to modify and adapt state-of-the-art AI approaches for protein engineering
- Strong fluency across both ML and protein biology, with hands-on understanding of antibody design
- Demonstrated ability to drive a research and engineering program independently, from problem definition through experimental validation and iteration
- Track record of close collaboration with experimental scientists and clear communication across the ML/biology boundary
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