PhD Genomics and Cell Biology Scientist, AI Expert (Remote, UK or US East Coast)
The middle of its range, $85/hr, is above the $40/hr median of the Math & STEM roles open now, whose typical pay runs $35–$130/hr. How that pay moves week by week is in our research on Math & STEM work.
Half of all Math & STEM roles come down within 27.1 days of being listed, and 46% are still up after four weeks. This one was posted today.
About the role
Compensation: $70 - $100 per hour
Location: Remote (UK or US East Coast) Employment Type: Part-Time, Contract Availability: Minimum 20 hours per week, weekdays
Job Overview
We are looking for highly skilled PhD-qualified scientists in genomics and cell biology to contribute to the development of advanced AI models for scientific research. This opportunity is suited to molecular biologists, cell biologists, geneticists, genomics researchers, and synthetic biologists with recent, hands-on experience in laboratory or computational biology.
As a subject-matter expert, you will work closely with research and engineering teams at a leading AI lab to improve how AI systems understand, reason through, and solve complex biological problems. Your scientific expertise will help shape high-quality training datasets, develop challenging benchmarks, and evaluate AI-generated solutions across molecular biology, genomics, and cellular research.
This is a part-time, fully remote opportunity for candidates based in the UK or on the US East Coast, with the flexibility to work remotely while contributing to high-impact AI research initiatives.
Key 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 challenging, domain-specific biology tasks, benchmarks, and training datasets that test genuine scientific reasoning rather than simple information retrieval.
- Develop accurate, structured solutions for complex biological problems, including construct design, experimental protocol planning, and assay troubleshooting.
- Evaluate AI-generated outputs and step-by-step reasoning, assessing the biological feasibility and scientific accuracy of proposed experimental protocols and computational workflows.
- Provide detailed 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.
- Serve as a scientific domain expert, ensuring the quality, consistency, and accuracy of biological training data.
- Work alongside other subject-matter experts to maintain high scientific standards across research and evaluation projects.
Required Qualifications
- PhD in Molecular Biology, Cell Biology, Genetics, Genomics, Synthetic Biology, Biochemistry, or a closely related discipline.
- Recent PhD graduates and postdoctoral researchers with relevant expertise are encouraged to apply.
- Recent hands-on laboratory or computational experience with techniques and workflows such as:
- PCR and qPCR
- Molecular cloning and construct design
- CRISPR and genome editing
- Cell-based assays
- Sequence analysis
- Functional genomics
- Broad familiarity with different organisms, biological model systems, and experimental methodologies, rather than expertise limited to a single technique.
- Comfortable working with scientific software and AI-powered tools; advanced programming skills are not required.
- Strong scientific writing, analytical, and communication skills, with 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 the ability to work effectively with multidisciplinary research and engineering teams.
Preferred Qualifications
- 1–3 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.
Employment Details
- Work Arrangement: Fully remote.
- Eligible Locations: United Kingdom or US East Coast.
- Engagement Type: Part-time, independent contractor.
- Time Commitment: Minimum 20 hours per week, primarily during weekdays.
- Schedule: Flexible, with the ability to manage work remotely.
- Project Duration: Engagements may be extended, shortened, or concluded early depending on project requirements and performance.
- Payment: Weekly payments through Stripe or Wise, based on services rendered.
- Confidentiality: The work will not require access to confidential or proprietary information belonging to any current or former employer, client, or institution.
Equal Employment Opportunity
We are committed to providing equal employment opportunities to all qualified applicants. We do not discriminate based on race, religion, color, national origin, sex, pregnancy, sexual orientation, gender identity or expression, age, disability, veteran status, genetic information, political views or activity, or any other characteristic protected by applicable law.
Reasonable accommodations are available to qualified applicants upon request.
Important Eligibility Information
- Applicants must be based in the United Kingdom or on the US East Coast.
- H-1B and STEM OPT candidates cannot be supported for this opportunity.
- Candidates should have the relevant PhD qualification and recent hands-on experience in genomics, molecular biology, or cell biology.
Where you can work
This role is 100% remote, for applicants located in United Kingdom and United States.
From Weekday's job posting, checked 12 Nov 2026.
The application
Just your details and CV.
From Weekday's apply page, checked 12 Nov 2026.
About Weekday
A recruiting company that staffs AI training companies' expert projects, most of them open in the US and paid by the approved hour or task.
How it pays: Most postings do not say; one current posting says approved work is paid weekly, and its 2025 postings for an AI lab said independent contractors were paid weekly (daily on two) through Stripe Connect (its Workable board, read 12 Nov 2026).
When it pays: Most postings name no schedule. How often others pay
Interview: on some roles or projects (Per-posting screening (AI interview, timed tests or portfolio review) and a manager's review). Platforms with no interview
Similar open roles
Some links on AITraining.jobs are referral links. If you sign up through one, AITraining.jobs may earn a commission at no extra cost to you. It never changes what a platform pays you. A role at a platform that pays us a referral fee weighs more in this order.

Document Annotation Specialist (PDF) (opens the job details)
SuperAnnotate (SME) · Data Annotation · Remote· 2d agoDetails
up to $10/hr
AI Conversation Evaluator (opens the job details)
micro1 · AI Evaluation · Remote· todayDetails
$40–$70/hr
General AfterQuery Expert (Data Annotator) (opens the job details)
AfterQuery · Data Annotation · Remote· 1y+ agoDetails
$43/hr

Data Annotators: Paid Tasks for AI Model Training (opens the job details)
Terac · Data Annotation · Remote· 3w agoDetails
$40/hr
A degree in math or science?
One profile for every AI training platform. Companies ask us for people with a specific language, country or credential: add yours once, and when a role fits, we introduce you, only with your yes. Free.
Get new Weekday roles by email
We check the Weekday job board every hour and email you its newest roles each week, plus similar paid roles elsewhere. Free, unsubscribe anytime.