Molecular Biologist for AI Model Training

Provide domain expertise in nucleic-acid sequence design to improve and validate advanced generative AI models. You will design and evaluate DNA and RNA constructs, produce expert-quality solutions that serve as ground truth, and guide engineering and research teams so model outputs meet rigorous experimental and design standards. This role supports a part-time to full-time engagement up to 40 hours per week and is posted for remote work in the United Kingdom.

• Advise research and engineering teams to close knowledge gaps and improve AI model performance in molecular biology, nucleic-acid sequence design, and construct engineering.
• Create domain-relevant tasks and write accurate, well-documented solutions across primers, plasmids and expression vectors, guide RNA and sgRNA for CRISPR, mRNA and other RNA constructs, and HDR or repair templates, to serve as ground truth.
• Evaluate molecular-biology tasks and AI model outputs against expert solutions, providing clear written technical feedback on correctness, rigor, and biological reasoning.
• Develop guidelines, rubrics, and evaluation frameworks to assess sequence-design quality, including guide and target selection, homology-arm length, primer melting temperature and specificity, codon optimization, and relevant regulatory elements.
• Collaborate with other subject-matter experts to ensure consistency and accuracy across training data and evaluation criteria.

• Advanced degree in molecular biology, genetics, biochemistry, synthetic biology, bioengineering, or a related life-science field, PhD strongly preferred.
• Hands-on experience designing nucleic-acid constructs prior to experiments across several of the following: primers (PCR, qPCR, cloning), plasmids/vectors, gRNA/sgRNA, mRNA constructs, and HDR/repair templates.
• Practical experience with cloning strategies such as Gibson assembly, Golden Gate, Gateway, or restriction enzyme cloning, and with codon optimization workflows.
• Strong peer-reviewed publication record, with emphasis on first-author work in notable venues. Please include links to publications with your application.
• Demonstrable career progression and the ability to justify design choices clearly and precisely in writing.
• Availability to engage reliably for at least 20 hours per week during weekdays, with capacity to work up to 40 hours per week.
• Past experience in AI training, model evaluation, or data annotation is preferred but not required.

• Location: Remote, United Kingdom.
• Employment type: hourly, W-2 employment with Cincinnatus LLC or an appropriate international entity; placement will be as part of an extended workforce at a leading AI laboratory.
• Commitment: part-time to full-time, up to 40 hours per week, with a minimum reliable engagement expectation of 20 hours per week on weekdays.

• Hourly rate: 70 to 105 per hour.

• This role is posted for remote work in the United Kingdom. Employment is provided through Cincinnatus LLC or an appropriate international employing entity, and the employing entity will determine applicable work authorization and hiring eligibility.
• Cincinnatus is an Equal Employment Opportunity employer and does not discriminate on the basis of legally protected characteristics.

When applying, provide evidence of your relevant experience and technical expertise. Include links to peer-reviewed publications, especially first-author work, and documentation or examples that demonstrate your construct-design experience and written explanation of design choices.