Latchbio
AI Biologist - Immunology
San Francisco (preferred), Remote. Posted 12 days ago
The role
You will contribute to the technical approach for evaluating how AI agents reason about immunology. You will work with software engineers and computational biologists to build ground-truth benchmark datasets.
What you will do
- Contribute to the technical approach for evaluating how AI agents reason about immunology
- Build ground-truth benchmark datasets drawn from studies, experience, and novel work
- Test whether agents can perform critical analytical and interpretive steps that expert immunologists do
Required qualifications
- Master's or PhD in Immunology, Cell Biology, Bioengineering, or related field
- 3+ years of hands-on research experience in relevant domains, with impact demonstrated through publications or industry experience
- Proficiency in Python and/or R for biological data analysis and visualization OR expert-level experience in experimental or methods design
- Deep experience in at least one of the following: basic immune cell biology, immune signaling, vaccine development, autoimmunity, cancer immunology, infectious disease/host defense, inflammation, immu
Nice to have
- Hands-on experience designing or troubleshooting immunology experiments, including flow/mass cytometry, multiomics, functional assays, disease models, and more
- Strong existing opinions on where agents and LLMs fail in immunology
- Experience using agentic coding systems
Benefits
- Health, dental, vision: 100% covered for you, 50% for dependents
- 401(k) (no match)
- PTO: 12 days to start, more as you’re promoted
- Catered lunch and dinner and unlimited snacks (onsite)
- Company outings most months, team off-sites, and a community
Before you apply
- We sponsor H-1B (new and transfers), O-1, and TN, and support STEM OPT
- If your profile matches, we’ll send you a take-home project
- Background check, once you accept
About the company
Latch builds rigorous scientific benchmarks for AI agents across biology. They work with frontier labs and pharma to measure whether agents can handle real biological workflows.