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About the Role
Contribute to the technical approach for evaluating AI agent reasoning on complex biologics therapeutics datasets. Build benchmark datasets from real antibody and protein discovery programs to test agent decision-making capabilities.
Responsibilities
- Contribute to the technical approach for evaluating how AI agents reason through complex biologics therapeutics datasets.
- Build ground-truth benchmark datasets—drawn from real antibody and protein discovery programs—that rigorously test whether agents can perform the critical decision-making steps that human scientists execute.
- Define how we measure agent capability in therapeutic discovery through hands-on expertise in variant ranking, enrichment analysis, and advancement prioritization.
Requirements
- 2+ years hands-on experience with biologics discovery or development (antibody engineering, protein engineering, or cell/molecular biology-driven target validation)
- Experience interpreting binding kinetics (SPR/BLI), biophysical stability data, and/or cell-based potency assays
- Proficiency in Python and/or R for data analysis & visualization
- Familiarity with antibody optimization (CDR engineering, VH/VL pairing, variant screening)
- Familiarity with protein structure (AlphaFold, cryo-EM, docking)
- Familiarity with high-throughput antibody/binding screens
- Familiarity with PK/PD modeling for biologics (target occupancy, half-life, clearance)
- Familiarity with bioprocess/manufacturability constraints
- Experience with immunogenicity risk assessment
- Hands-on work with potency assay design (ELISA, cell-based, biochemical)
- CMC/GMP-adjacent knowledge
Skills
- Python
- R
- Data analysis
- Data visualization
- Antibody optimization
- CDR engineering
- VH/VL pairing
- Variant screening
- Protein structure
- AlphaFold
- cryo-EM
- docking
- High-throughput antibody/binding screens
- PK/PD modeling
- Biologics
- Target occupancy
- Half-life
- Clearance
- Bioprocess
- Manufacturability
- Immunogenicity risk assessment
- Potency assay design
- ELISA
- Cell-based assays
- Biochemical assays
- CMC
- GMP
Location
- China Basin, San Francisco
Work Type
- Full-time
- In-person
- Remote
Experience Level
- 2+ years
Salary/Compensations
- OTE 120k - 180k - Performance based pay
Benefits
- Free meals onsite (lunch and dinner)
About the Company
- Latch is building intelligent, high performance agents for biological data analysis, empowering over 5,000 scientists across 150+ R&D labs to handle data from instrument-to-insights.