Molecular Biologist for AI Model Training

Role Overview

Apply hands-on molecular biology expertise to help research and engineering teams develop and evaluate advanced AI models. You will create expert-grounded training data and assessment frameworks focused on nucleic-acid sequence design and construct engineering.

Key Responsibilities

• Advise research and engineering teams on molecular biology knowledge gaps to improve AI model performance.
• Create challenging molecular biology tasks and accurate, well-documented reference solutions covering PCR, qPCR, and cloning primers; plasmids and expression vectors; CRISPR gRNA and sgRNA; mRNA and RNA constructs; and HDR and repair templates.
• Evaluate molecular biology tasks and AI-generated outputs against expert-quality solutions, providing written feedback on correctness, rigor, and biological reasoning.
• Develop detailed guidelines, rubrics, and evaluation frameworks for sequence-design quality, including guide and target selection, homology-arm length, primer melting temperature and specificity, codon optimization, and regulatory elements.
• Partner with other subject-matter experts to maintain consistent, accurate training data.

Qualifications

• Advanced degree in molecular biology, genetics, biochemistry, synthetic biology, bioengineering, or a related life-science field. A PhD is strongly preferred.
• Hands-on pre-experimental design experience across several of the following: primers, plasmids or vectors, gRNA or sgRNA, mRNA, and HDR or repair templates.
• Experience with cloning strategies such as Gibson, Golden Gate, Gateway, or restriction cloning, plus codon optimization.
• Strong peer-reviewed publication record, with emphasis on first-author publications in notable venues such as Nature and related journals, Cell, eLife, Nucleic Acids Research, PNAS, or EMBO Journal. Include publication links with your application.
• Demonstrable career progression, strong written communication skills, and the ability to explain design decisions clearly and precisely.
• Experience with AI training, model evaluation, or data annotation is preferred.

Work Terms

• Remote role for candidates based in the United Kingdom.
• Hourly W-2 employment through an employer-of-record arrangement, with potential placement on an AI lab team.
• Part-time to full-time engagement, up to 40 hours per week.
• Reliable weekday availability of at least 20 hours per week is required.

Compensation

• £70 to £105 per hour.

Equal Opportunity

Employment decisions are made without discrimination based on legally protected characteristics, including race, religion, color, national origin, sex, pregnancy or related medical conditions, sexual orientation, gender identity or expression, age, veteran status, disability, genetic information, political views or activity, or other protected status.