AI Biologist - Genetic Medicines

LatchBio • San Francisco, CA

2d • Remote

About The Position

Latch builds rigorous scientific benchmarks (benchmarks.bio) for AI agents across biology, working with frontier labs and pharmaceutical companies to measure whether agents can handle real biological workflows. The AI Biologist - Genetic Medicines will help develop the technical approach for evaluating agent reasoning across gene therapy, gene editing, and RNA therapeutics, from target validation and drug discovery through clinical development.

The role works with software engineers and scientists to build datasets and AI-agent tasks covering the genetic medicines pipeline. Work includes designing realistic program case studies; evaluating pharmacology, immunogenicity, and toxicology evidence; reconstructing program decisions from multiple data sources; reviewing agent outputs for scientific defensibility; and assessing agent confidence when preclinical evidence is incomplete or conflicting.

The role is fully remote-compatible, although onsite work is preferred at Latch’s Mission Bay waterfront office in San Francisco. Compensation is listed as $140,000–$180,000 OTE, with performance-based pay and a four-week ramp paid at full OTE. US employees receive a state-set guaranteed base, health, dental, and vision coverage, a 401(k) without a match, and 12 days of PTO to start. Outside the US, the role is contractor-based and US benefits do not apply.

Requirements

• Advanced degree (MS, PhD, or PharmD) in molecular biology, genetics, gene therapy, or a related biomedical field, or equivalent industry experience.
• At least 3 years of hands-on experience in gene therapy, gene editing, or RNA therapeutics (ASO, siRNA, or mRNA) discovery or development.
• Direct experience with drug design, drug screening, delivery optimization, or IND-enabling study design in at least one genetic medicine modality.
• Experience interpreting on- and off-target editing data, biodistribution, immunogenicity, and GLP toxicology to inform dose selection and risk assessment.
• Strong scientific writing skills and the ability to produce clear, evidence-supported rationale for drug development decisions.
• Proficiency in using AI agents and judgment to identify model reasoning that is technically correct but pharmacologically or practically unsound.
• Comfort operating amid uncertainty and proactively flagging gaps in data or instructions.
• High agency and initiative.

Nice To Haves

• Familiarity with IND-enabling regulatory requirements and the nonclinical data package expected by FDA or EMA.
• Experience evaluating potency, specificity, and developability trade-offs across vector, construct, or oligonucleotide candidates.

Responsibilities

• Contribute to the technical approach for evaluating AI-agent reasoning across the genetic medicines pipeline, including gene therapy, gene editing, and RNA therapeutics.
• Design realistic program case studies covering target validation, drug design and screening, chemistry optimization, candidate nomination, and IND-enabling studies across genetic medicine modalities.
• Evaluate PK/PD, immunogenicity, and GLP toxicology findings across modalities and development stages.
• Reconstruct program go/no-go decisions from multi-source data.
• Review and stress-test AI-agent outputs for scientific soundness, identifying reasoning that may be textbook-correct but indefensible in a program review.
• Calibrate AI-agent confidence on preclinical data with incomplete or conflicting signals rather than forcing a binary call.
• Build datasets and AI-agent tasks across the end-to-end genetic medicines pipeline in collaboration with software engineers and scientists.

Benefits

• For US employees, health, dental, and vision coverage is 100% covered for the employee and 50% covered for dependents.
• 401(k) plan with no match.
• 12 days of PTO to start, with more as the employee is promoted.
• First four weeks of ramp paid at full OTE.
• Full OTE pay when quota cannot fairly apply, such as when a new project is starting, the platform is down, or the employee is assigned to a special project.
• Company outings most months, team off-sites, and a community with shared recreational and social activities.
• Fully remote work is permitted; onsite office has catered lunch and dinner and unlimited snacks.
• H-1B (new and transfers), O-1, and TN sponsorship, and STEM OPT support.

What This Job Offers

• Job Type: Full-time