Member of Technical Staff – Proteomics Research
Lead the company's proteomics benchmark and define evaluation standards for how AI agents interpret proteomic data. Design technical approaches and lead a team building benchmark datasets across proteomics, metabolomics, and lipidomics workflows. Requires 5+ years hands-on LC/MS proteomics experience, coding proficiency with AI agents, and prior contribution to a novel proteomics method or published pipeline.
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Member of Technical Staff – Proteomics
Research · Full-Time San Francisco, CA (on-site)
Our client builds rigorous scientific benchmarks that measure how well AI agents perform real biology, used by frontier AI labs and pharma companies to test whether agents can handle the messy, multi-layer reasoning real biological work demands. Every benchmark is grounded in real experimental and clinical work, and built by scientists who've done that work themselves.
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