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AI Biologist - Drug Development

latchbio • United State
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Develop rigorous scientific benchmarks for AI agents in drug discovery and development, focusing on target validation through IND-enabling studies. Design realistic case studies and curate multi-modal preclinical data bundles to evaluate agent performance in pharmacological reasoning. Requires an advanced degree in a biomedical field and 3+ years of hands-on experience in pharma or biotech drug development.

Key Highlights
Design realistic program case studies spanning target validation, lead optimization, candidate nomination, and IND-enabling studies.
Curate multi-modal preclinical data bundles including SAR, ADME/PK, in vivo efficacy, and GLP toxicology data.
Evaluate PK/PD, GLP toxicology, and safety pharmacology findings to reconstruct program go/no-go decisions.
Key Responsibilities
Contribute to technical approach for evaluating agent performance across the drug discovery and development pipeline.
Design realistic program case studies spanning target validation, lead optimization, candidate nomination, and IND-enabling studies.
Curate multi-modal preclinical data bundles including SAR/potency panels, ADME/PK profiles, in vivo efficacy, GLP toxicology, safety pharmacology, and biodistribution data.
Evaluate PK/PD, GLP toxicology, and safety pharmacology findings across modalities and development stages.
Reconstruct program go/no-go decisions from multi-source data.
Review and stress-test agent outputs for pharmacological soundness.
Calibrate AI agent confidence on preclinical data with incomplete or conflicting signals.
Technical Skills Required
Pharmacology Toxicology Drug Development
Benefits & Perks
100% covered health, dental, and vision for employee
50% covered health, dental, and vision for dependents
401(k) plan
12 days PTO to start
Equity
Remote, hybrid, or onsite work options
Nice to Have
Familiarity with IND-enabling regulatory requirements and the nonclinical data package expected by FDA/EMA

Job Description

Latch builds rigorous scientific benchmarks (benchmarks.bio) for AI agents across biology. We work with frontier labs and pharma to measure whether agents can handle real biological workflows: the messy, multi-layer reasoning that matters in the field.We're seeking an AI Biologist - Drug Development to join our team working at the frontier of what artificial intelligence can achieve in drug discovery and development.
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