> Markdown version of [/jobs/ext/3955880-genomics-phd-ai-model-specialist](https://www.wearedevelopers.com/jobs/ext/3955880-genomics-phd-ai-model-specialist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Genomics PhD - AI Model Specialist - **Company:** Mercor, Inc. - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Starter - **Salary:** $145,600.0 - $208,000.0 - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Machine Learning - **Published:** October 27, 2026 - **Apply:** https://www.thejobnetwork.com/job/190d4587-a799-4fe4-b259-f7850f4f0e9c/genomics-phd-ai-model-specialist ## About the Role Must-Have * 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. Preferred * 1 to 3 years of post-PhD experience. * Experience evaluating AI models or agents, designing benchmarks, or writing grading rubrics. ## Description * 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., PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.