Biochemistry & Life Sciences Domain Expert

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

Job summary

Weekday AI is seeking a senior biochemistry and life sciences domain expert to work with a leading AI lab's research and program management teams. You will review life sciences knowledge work tasks, define what correct looks like, and build benchmarks to ensure model improvements.

This is a senior, specialized role requiring on-site collaboration in the Bay Area. The position is hybrid and based in the Bay Area, California, with on-site work required several days per week.

Qualifications

• PhD in biochemistry, molecular or cell biology, genetics, immunology, neuroscience, or a closely related life science.

Responsibilities

• Data QA and reviews of life sciences knowledge work tasks and model outputs.
• Write instruction specs and golden datasets for life sciences problems.
• Design benchmarks and domain-specific evaluation sets with the research team.
• Coordinate calibration with client researchers to maintain standards.

Skills

4+ years research experience

AI fluency

Quality assurance

Scientific writing

On-site collaboration

Education

PhD in biochemistry or closely related life science

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.

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