Biochemistry & Life Sciences Domain Expert

Weekday 1; California City (CA); Hybrid; USD 90,000 - 145,000; Full time

Job summary

Weekday 1 is seeking a senior biochemistry and life sciences domain expert to work directly with a leading AI lab's research and program management teams, refining how frontier AI models reason about real life sciences research. Your scientific expertise is the substance of this role.

You will review quality of life sciences knowledge work tasks, write instruction specs and golden solutions, and build benchmarks that show model improvements.

Qualifications

• PhD in biochemistry, molecular/cell biology, genetics, immunology, neuroscience, or related life science.
• 4+ years of substantive research at a recognized institution.
• Genuine specialization in at least one life sciences area.
• Clear seniority with ownership of research direction.
• Peer-reviewed publications, first-author preferred.
• Experience with AI and LLMs in professional work.
• Availability for 40 hours/week for 6 months.
• Bay Area living and on-site availability.
• Excellent written communication.

Responsibilities

• QA and review quality of life sciences knowledge tasks and model outputs.
• Write instruction specs and golden solutions for life sciences problems.
• Design challenging life sciences tasks and evaluation sets.
• Coordinate with researchers to maintain standards and explicit criteria.

Skills

Data QA

Instruction writing

Benchmarks

Calibration

AI fluency

Communication

Leadership

Education

PhD in biochemistry or life sciences

Tools

Large language models (LLMs)

Job description

This role is for one of our clients

Compensation: $65-$105 per hour

We are hiring a seniorbiochemistry and life sciences domain expertto work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real life sciences research work.

Your scientific expertise is the substance of this role. You will review the quality of life sciences knowledge work tasks, write the instruction specs and golden solutions that define what \"correct\" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practicing specialist rather than a generalist.

Location:This is ahybridrole based in theBay Area, California. You must live in the Bay Area and work on-site with the client's team multiple days each week, when required. This is not a remote role. If you do not currently live in the Bay Area, you must be willing to relocate there at your own cost before the engagement starts. Relocation assistance is not provided.

Requirements

Key Responsibilities

• 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.

Core Qualifications

• 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 your own cost. Relocation assistance is not provided.
• Excellent written communication, and the ability to give precise, well-structured written feedback.