Genomics & Cell Biology Specialist

What You'll Do8

• Point research and engineering teams toward the gaps in their biology knowledge, covering cloning, primer and guide design, sequence work and cell-based assays.
• Write demanding biology problems that cannot be solved by a web search, spanning construct design, protocol planning and assay troubleshooting, and back each one with a careful worked answer.
• Review model outputs and the reasoning behind them, then judge whether a proposed protocol or computational workflow holds up at the bench.
• Return written technical feedback that names the specific error and explains what a correct approach looks like.
• Build grading rubrics, specifications and verification steps for biology data produced by outside technical teams.
• Serve as the domain authority on data quality, deciding when a contribution meets the bar and when it needs rework.
• Coordinate with other subject-matter experts so training data stays consistent across organisms, methods and model systems.
• Adapt tasks as model capability shifts, replacing problems the models already solve with harder ones.

Requirements7

• PhD in molecular biology, cell biology, genetics, genomics, synthetic biology, biochemistry or a comparable field. Recent graduates and postdocs are welcome.
• Hands-on lab or computational work with PCR or qPCR, molecular cloning, CRISPR, cell-based assays, sequence analysis or functional genomics, done recently enough to speak to current practice.
• Range across several organisms, model systems and techniques instead of depth in one narrow method.
• Comfort with scientific software and AI tools. No coding needed.
• Availability for 20 or more hours each week during weekday hours.
• Clear written communication, including the ability to walk a non-specialist through a technical decision.
• Helpful but not required: one to three years of post-PhD experience, prior work evaluating AI models or agents, benchmark design or rubric writing.

Who Should Apply

Biologists with a PhD and current hands-on experience in cloning, CRISPR, functional genomics or cell-based assays who can judge a protocol on paper and explain why it fails. Breadth across organisms and methods matters more here than a single specialty.

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