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Cell Biology Expert - Fully Remote | Part-Time
Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-11-05
San Francisco, San Francisco County, California, 94199, USA
Listing for:
Mercor
Part Time, Remote/Work from Home
position Listed on 2026-11-05
Job specializations:
-
Research/Development
AI Evaluation, Genetics / Genomics, Research Scientist
Job Description & How to Apply Below
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark
, General Catalyst
, Peter Thiel
, Adam D'Angelo
, Larry Summers
, and Jack Dorsey
.
Position: Genomics & Cell Biology Specialist
Type:
Contract
Compensation: $70-$100/hour
Location:
Remote
- Guide research and engineering teams to close knowledge gaps and improve AI model performance in molecular cloning
, primer and CRISPR design
, functional genomics
, sequence analysis
, and cell-based assays
. - Design challenging, non-searchable biology tasks, benchmarks, and training data. Write accurate, well-structured solutions to problems such as construct design, protocol planning, and assay troubleshooting.
- Evaluate AI model outputs and step-by-step reasoning on biology tasks. Judge the biological feasibility of proposed protocols and computational workflows. Provide clear, written technical feedback.
- Develop specifications, grading rubrics, and verification processes for biology data produced by external technical teams. Act as the domain authority on data quality.
- Collaborate with other subject matter experts to ensure consistency and accuracy in training data.
- PhD in molecular biology
, cell biology
, genetics
, genomics
, synthetic biology
, biochemistry
, or a closely related discipline. - Recent, hands-on experience (bench or computational) with workflows such as PCR/qPCR
, molecular cloning
, CRISPR
, cell-based assays
, sequence analysis
, or functional genomics
. - Broad experience across organisms, model systems, and methods.
- Comfortable using scientific software and AI tools (no coding required).
- Ability to engage reliably for at least 20 hours/week during weekdays.
- Strong written communication and collaboration skills. Ability to explain complex technical decisions clearly.
- 1 to 3 years of post-PhD experience.
- Experience evaluating AI models or agents, designing benchmarks, or writing grading rubrics.
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