Remote AI Biologist for Drug Discovery and Development

LatchBio; San Francisco (CA); Hybrid; USD 140,000 - 180,000; Full time

Benefits offered by this job

Equity

Comprehensive health/dental/vision

Job summary

LatchBio is seeking an AI Biologist - Drug Development to advance AI-driven evaluation of drug discovery workflows, from target validation to IND-enabling studies. You’ll join a cross-disciplinary team architecting datasets and AI tasks spanning the end-to-end pipeline.

You will interpret PK/PD, ADME, and GLP data to inform dose selection, and help ensure AI outputs are pharmacologically sound and defendable within program reviews.

Qualifications

• Advanced degree required (MS/PhD/PharmD) or equivalent industry experience.
• 3+ years hands-on pharma/biotech drug discovery experience.
• Experience with lead optimization or IND-enabling studies.
• Familiarity with IND-enabling regulatory requirements and nonclinical data package expectations.

Responsibilities

• Design realistic program case studies across target validation to IND-enabling studies.
• Curate multi-modal preclinical data bundles (SAR/potency, ADME/PK, in vivo efficacy, GLP toxicology).
• Evaluate PK/PD, GLP toxicology, and safety pharmacology findings across modalities.
• Reconstruct program go/no-go decisions from multi-source data.
• Review and stress-test agent outputs for pharmacological soundness and defensibility.
• Calibrate AI agent confidence on preclinical data with incomplete signals.

Skills

Pharmacology

Toxicology

IND-enabling studies

PK/PD interpretation

Data interpretation

Scientific writing

AI familiarity

Uncertainty tolerance

Initiative

Lead optimization

Education

Advanced degree in pharmacology/toxicology/medicinal chemistry

Job description

LatchBio is seeking an AI Biologist - Drug Development to advance AI-driven evaluation of drug discovery workflows, from target validation to IND-enabling studies. You’ll join a cross-disciplinary team architecting datasets and AI tasks spanning the end-to-end pipeline.

You will interpret PK/PD, ADME, and GLP data to inform dose selection, and help ensure AI outputs are pharmacologically sound and defendable within program reviews.