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About the Role
At LatchBio, we build benchmarks for AI labs to evaluate and train models on biological reasoning. SurveillanceBench tests AI agents on pathogen surveillance and epidemiological workflows for outbreak detection and public health response. We seek scientists with deep computational workflow experience in infectious disease surveillance, molecular epidemiology, wastewater genomics, environmental metagenomics, outbreak response, and pathogen detection to design evaluation tasks grounded in real surveillance science.
Responsibilities
- Review surveillance workflows and real case studies to define what good threat detection looks like
- Source examples from epidemiology literature, wastewater programs, and outbreak response
- Convert those into structured evaluation tasks with clear success criteria
- Document your reasoning so evaluations are defensible and consistent
- Test AI agents against your tasks: do they interpret samples correctly, chain tools appropriately, reach sound conclusions?
- Build a corpus of surveillance evaluations grounded in real workflows
Requirements
- Hands-on computational surveillance experience running wastewater, air, or clinical metagenomic pipelines
- Proficiency in taxonomic classification, assembly, variant calling, and phylogenetics
- Experience with complex environmental samples and understanding how sample type and tool choice affect results
- Ability to distinguish real threats from false positives and understand sensitivity/specificity tradeoffs
- Ability to define success criteria for detection work
- Ability to translate domain knowledge into structured evaluation tasks with clear rubrics
- Understanding of wastewater vs. air vs. clinical vs. field sequencing and how tool choice and parameters differ across contexts
- Ability to work at a fast pace
- Government background is acceptable if you were a doer during crises (pandemic, outbreak response, surveillance scale-up)
Skills
- Computational surveillance
- Infectious disease surveillance
- Molecular epidemiology
- Wastewater genomics
- Environmental metagenomics
- Outbreak response
- Pathogen detection
- Taxonomic classification
- Assembly
- Variant calling
- Phylogenetics
- Threat detection judgment
- Task construction
- Sample type literacy
- Agentic workflow intuition
- Kill chain thinking
- Field sequencing
- Government biodefense
- Frontier AI eval frameworks
- Surveillance genomics
- Wastewater epidemiology
Location
- San Francisco, CA
Work Type
- In-person
Experience Level
- Hands-on computational surveillance experience
- Government background is fine if you were a doer during crises (pandemic, outbreak response, surveillance scale-up)
- Network in the field (can refer 5-10 experts)
- Agentic workflow intuition (understand how AI agents chain tools, where they might fail)
- Kill chain thinking (how individual capabilities compose into broader insights)
- Field sequencing experience (MinION, mobile labs, real-time analysis)
- Government biodefense background (BioWatch, SOCOM, NMRC BDRD)
- Frontier AI eval frameworks familiarity
- Publications in surveillance genomics or wastewater epidemiology
- Government surveillance bioinformatician (CDC, state biodefense labs, military)
- Field sequencing specialist (deployed sequencers, mobile labs, real-time analysis)
- Environmental genomics researcher (wastewater/air/clinical metagenomic programs)
- Outbreak response epidemiologist (CDC, state health departments, field experience)
Salary/Compensations
- $120k-$180k (base + performance pay that scales with output)
Benefits
- Equity
- 100% premium-covered Blue Shield Platinum health plan ($0/$0)
- Unlimited PTO
- Visa Sponsorship
About the Company
- At LatchBio, we build the benchmarks that frontier AI labs use to evaluate and train models on biological reasoning.