Molecular Biology PhD - GenAI Expert

Mercor

Greater London

On-site

GBP 90,000 - 150,000

Full time

14 days+

Get a reply from this recruiter

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

Obsidian is seeking a Molecular Biology SME to contribute foundational DNA/RNA sequence design for AI training data. You will design primers, plasmids, gRNA/sgRNA, and mRNA constructs, validating biological reasoning and providing expert‑level solutions.

You will work with researchers and engineers to close gaps in model reasoning, write ground‑truth guidelines, and help ensure consistent data quality across projects in a cutting‑edge GenAI team.

Qualifications

  • Advanced degree, PhD strongly preferred, in molecular biology, genetics, biochemistry, synthetic biology, bioengineering or a related life science field.
  • Hands‑on experience designing nucleic acid constructs before the experiment runs, across primers, plasmids and vectors, gRNA and sgRNA, mRNA, and HDR or repair templates, together with the cloning strategy behind them (Gibson, Golden Gate, Gateway, restriction) and codon optimization.
  • A strong peer‑reviewed publication record, weighted toward first‑author work in notable venues such as Nature and the Nature family, Cell, eLife, Nucleic Acids Research, PNAS and EMBO Journal.
  • Clear career progression.
  • You can commit reliably to at least 20 hours a week on weekdays.
  • Previous work in AI training, model evaluation or data annotation is a plus.
  • Strong written communication, and the ability to explain the reasoning behind a design choice clearly and precisely.

Responsibilities

  • Work with research and engineering teams to find where a model's molecular biology reasoning breaks down, and help close those gaps.
  • Design hard, domain‑relevant tasks and write the accurate, well documented solutions that become ground truth. That spans primers for PCR, qPCR and cloning, plasmids and expression vectors, gRNA and sgRNA for CRISPR editing, mRNA and RNA constructs, and HDR or repair templates.
  • Review molecular biology tasks and model outputs against expert‑quality solutions, and give clear written feedback on correctness, rigor and biological reasoning.
  • Write the guidelines and rubrics used to judge sequence design quality, covering guide and target selection, homology arm length, primer melting temperature and specificity, codon optimization, and regulatory elements.
  • Work alongside other subject matter experts so the training data stays consistent and accurate.

Skills

Molecular biology
DNA/RNA construct design
gRNA/gRNA design
Primer/plasmid/vector design
Technical writing

Education

PhD in molecular biology or related field

Tools

Gibson Assembly
Golden Gate
Gateway cloning
Codon optimization

Job description

Join a leading AI lab's cutting‑edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models.

1. Overview

Join a leading AI lab's cutting‑edge GenAI team and help build foundational AI models from the ground up. We're looking for Molecular Biology subject‑matter experts (SMEs) who have designed DNA and RNA sequences themselves, including primers, plasmids, guide RNAs, mRNA constructs and repair templates, and who can bring that depth to the quality of our AI training data.

This is a W-2 employment position with Cincinnatus LLC (or appropriate international entity), with the opportunity to be placed at a leading AI Lab as part of their extended workforce.

2. Key Responsibilities
  • Work with research and engineering teams to find where a model's molecular biology reasoning breaks down, and help close those gaps.

  • Design hard, domain‑relevant tasks and write the accurate, well documented solutions that become ground truth. That spans primers for PCR, qPCR and cloning, plasmids and expression vectors, gRNA and sgRNA for CRISPR editing, mRNA and RNA constructs, and HDR or repair templates.

  • Review molecular biology tasks and model outputs against expert‑quality solutions, and give clear written feedback on correctness, rigor and biological reasoning.

  • Write the guidelines and rubrics used to judge sequence design quality, covering guide and target selection, homology arm length, primer melting temperature and specificity, codon optimization, and regulatory elements.

  • Work alongside other subject matter experts so the training data stays consistent and accurate.

3. Core Qualifications
  • An advanced degree, PhD strongly preferred, in molecular biology, genetics, biochemistry, synthetic biology, bioengineering or a related life science field.

  • Hands‑on experience designing nucleic acid constructs before the experiment runs, across several of primers, plasmids and vectors, gRNA and sgRNA, mRNA, and HDR or repair templates, together with the cloning strategy behind them (Gibson, Golden Gate, Gateway, restriction) and codon optimization.

  • A strong peer‑reviewed publication record, weighted toward first‑author work in notable venues such as Nature and the Nature family, Cell, eLife, Nucleic Acids Research, PNAS and EMBO Journal.

  • Clear career progression.

  • You can commit reliably to at least 20 hours a week on weekdays.

  • Previous work in AI training, model evaluation or data annotation is a plus.

  • Strong written communication, and the ability to explain the reasoning behind a design choice clearly and precisely.

About Cincinnatus LLC: Cincinnatus LLC is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for contingent and contract‑based opportunities. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high‑impact initiatives.

Equal Employment Opportunity: Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic.

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Molecular Biology Specialist - Fully Remote | Upto $105/hr
Molecular Biology Specialist - Fully Remote | Upto $105/hr

Mercor • Greater London

Remote
GBP 65,000 - 110,000
GenAI Biology Data Designer — Molecular Biology PhD
GenAI Biology Data Designer — Molecular Biology PhD

Mercor • Greater London

On-site
GBP 110,000 - 150,000
GenAI Molecular Biologist - DNA/RNA Design
GenAI Molecular Biologist - DNA/RNA Design

Mercor • Greater London

Remote
GBP 65,000 - 110,000
GenAI Molecular Biology Specialist—AI Training Designer
GenAI Molecular Biology Specialist—AI Training Designer

Mercor • Greater London

Remote
GBP 60,000 - 90,000
GenAI Data Scientist: Molecular Biology PhD
GenAI Data Scientist: Molecular Biology PhD

Mercor • Greater London

On-site
GBP 90,000 - 150,000
Bioinformatics PhD - Genomics Specialist
Bioinformatics PhD - Genomics Specialist

Mercor • Greater London

On-site
GBP 40,000 - 70,000
Senior Machine Learning Scientist
Senior Machine Learning Scientist

Flagship Pioneering, Inc. • Cambridge

On-site
GBP 70,000 - 90,000
DNA/RNA Design Specialist for AI Training Data
DNA/RNA Design Specialist for AI Training Data

Weekday AI (YC W21) • United Kingdom

On-site
GBP 72,158 - 108,237
Machine Learning Engineer | Omics | RNA | DNA | PyTorch | Hybrid, London
Machine Learning Engineer | Omics | RNA | DNA | PyTorch | Hybrid, London

Enigma • Greater London

On-site
GBP 50,000 - 90,000
Computational Biologist, Tree of Life
Computational Biologist, Tree of Life

Cultivarium • Greater London

On-site
GBP 90,000 - 120,000
Paid time off
Private medical insurance
Employer pension contributions