Biochemistry & Life Sciences Domain Expert

• Data QA and reviews: Vet the quality of life sciences knowledge work tasks and model outputs, spotting missing behaviors, thin reasoning, mechanistic hand-waving, unsupported causal claims, and answers that read well but would not survive peer review.

• Data QA and reviews: Vet the quality of life sciences knowledge work tasks and model outputs, spotting missing behaviors, thin reasoning, mechanistic hand-waving, unsupported causal claims, and answers that read well but would not survive peer review.
• Instruction specs and golden datasets: Write high-quality instruction specs, produce golden solutions to life sciences problems, and define new tasks that reflect how the research is actually done in practice.
• Benchmarks and domain depth: Design challenging life sciences tasks and evaluation sets, and help build domain-specific skills and tools together with the research team.
• Calibration: Work with client researchers and specialists in adjacent fields to keep standards consistent, translating tacit scientific judgment into explicit, teachable criteria.

• Education: PhD in biochemistry, molecular or cell biology, genetics, immunology, neuroscience, or a closely related life science.
• Experience: 4+ years of substantive research experience at a recognized institution, for example a research university, an academic medical center, a national laboratory, or an industrial research organization. Graduate coursework alone does not count.
• Domain depth: Genuine specialization in at least one area, for example molecular and cell biology, biochemistry and structural biology, immunology and immuno-oncology, genetics and genomics, neuroscience, or systems biology.
• Seniority: Clear progression to a senior level, for example Senior Scientist, Staff Scientist, Research Scientist, Instructor, Principal Investigator, or a faculty appointment, with real ownership of research direction.
• Research record: A record of peer-reviewed publications, ideally including first-author work in strong journals. Strongly preferred.
• AI fluency: Hands-on working use of large language models in your professional work, and the judgment to tell a well-reasoned answer from a plausible-sounding wrong one.
• Availability: Able to commit reliably to 40 hours per week for an initial engagement of 6 months.
• Location: Living in the Bay Area, California, and able to work on-site with the client's team multiple days each week, when required. Candidates not currently based in the Bay Area must be willing to relocate there at their own cost. Relocation assistance is not provided.
• Excellent written communication, and the ability to give precise, well-structured written feedback.