AI Biologist - Genetic Medicines
- Writing types
- AI training, Scientific communications
- Seniority
- Mid
- AI skills
- Proficiency in AI agent use, judging reasoning quality of agent outputs
About the role
Responsibilities
- Design realistic program case studies spanning target validation through IND-enabling studies
- Evaluate PK/PD, immunogenicity and GLP toxicology findings across modalities
- Reconstruct program go/no-go decisions from multi-source data
- Review and stress-test agent outputs for scientific soundness
- Calibrate agent confidence on preclinical data with incomplete or conflicting signals
Requirements
- Advanced degree (MS/PhD/PharmD) in a biomedical field, or equivalent industry experience
- 3+ years in gene therapy, gene editing or RNA therapeutics discovery or development
- Experience with drug design, screening, delivery optimization or IND-enabling study design
- Interpreting on-/off-target editing data, biodistribution, immunogenicity and GLP toxicology
- Strong scientific writing skills
- Proficiency in AI agent use with judgment on reasoning quality
Preferred Qualifications
- Familiarity with FDA/EMA IND-enabling regulatory requirements
Benefits
- Health, dental and vision coverage
- 401(k) and 12 days PTO to start
About the Company
Latch builds rigorous scientific benchmarks for AI agents across biology, working with frontier labs and pharma.
Listed via Career sites

