Biochemistry & Life Sciences Domain Expert

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models.

Pay

Firm hourly pay: $65-$105 per hour

Location

Bay Area, CA

Eligibility

Location-specific or hybrid

Qualification difficulty

Selective

What this role involves

Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models. 1. Overview We are hiring a senior biochemistry and life sciences domain expert to 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. This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce.

You will be provisioned with client-issued accounts and equipment, and will work inside the client's own tools alongside their research teams. Location: This is a hybrid role based in the Bay 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. 2.

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. 3. 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.