PhD Genomics and Cell Biology Scientist, AI Expert (Remote, UK or US East Coast)

Weekday AI

9h • $70 - $100 • Remote

About The Position

This part-time, fully remote contract opportunity is for a PhD-qualified scientist in genomics and cell biology to contribute to the development of advanced AI models for scientific research. The role is suited to molecular biologists, cell biologists, geneticists, genomics researchers, and synthetic biologists with recent hands-on laboratory or computational biology experience. Candidates must be based in the United Kingdom or on the US East Coast.

Working with AI research and engineering teams, the subject-matter expert will help improve how AI systems understand and solve biological problems. The work includes creating high-quality training datasets and challenging benchmarks, developing structured solutions to complex biology tasks, evaluating AI-generated responses, and providing technical feedback to improve scientific accuracy and reliability. The position also involves creating task specifications, evaluation rubrics, and verification procedures, and collaborating with other experts to maintain scientific standards.

The commitment is at least 20 hours per week, primarily on weekdays, with a flexible remote schedule. Project engagements may be extended, shortened, or concluded early depending on requirements and performance. Payment is $70–$100 per hour, made weekly through Stripe or Wise based on services rendered. The work will not require access to confidential or proprietary information belonging to a current or former employer, client, or institution. H-1B and STEM OPT candidates cannot be supported.

Requirements

• PhD in Molecular Biology, Cell Biology, Genetics, Genomics, Synthetic Biology, Biochemistry, or a closely related discipline.
• Recent hands-on laboratory or computational experience with relevant biology techniques and workflows.
• Experience with PCR and qPCR, molecular cloning and construct design, CRISPR and genome editing, cell-based assays, sequence analysis, and functional genomics.
• Broad familiarity with different organisms, biological model systems, and experimental methodologies.
• Comfort working with scientific software and AI-powered tools; advanced programming skills are not required.
• Strong scientific writing, analytical, and communication skills, including the ability to explain complex technical concepts clearly.
• Ability to commit reliably to at least 20 hours per week during weekdays.
• Strong collaboration skills and ability to work effectively with multidisciplinary research and engineering teams.
• Must be based in the United Kingdom or on the US East Coast.
• H-1B and STEM OPT candidates cannot be supported.

Nice To Haves

• One to three years of professional or research experience after completing a PhD.
• Experience evaluating AI models or AI agents for scientific accuracy and reasoning.
• Familiarity with benchmark development, training data creation, grading rubrics, or structured evaluation frameworks.
• Experience translating complex biological workflows into clear technical instructions and assessment criteria.

Responsibilities

• Collaborate with AI research and engineering teams to identify scientific knowledge gaps and improve model performance across molecular cloning, primer and CRISPR design, functional genomics, sequence analysis, and cell-based assays.
• Create domain-specific biology tasks, benchmarks, and training datasets that test scientific reasoning.
• Develop accurate, structured solutions to biological problems, including construct design, experimental protocol planning, and assay troubleshooting.
• Evaluate AI-generated outputs and step-by-step reasoning for biological feasibility and scientific accuracy.
• Provide technical feedback to improve the reliability, accuracy, and scientific depth of AI model responses.
• Create task specifications, evaluation rubrics, and verification procedures for biology-related data produced by external technical teams.
• Ensure the quality, consistency, and accuracy of biological training data as a scientific domain expert.
• Work with other subject-matter experts to maintain high scientific standards across research and evaluation projects.

What This Job Offers

• Job Type: Part-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree