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Contributing to the cutting-edge evaluation of AI agents in drug discovery, the full-time AI Biologist in Drug Development will design case studies, curate preclinical data, and assess agent outputs while working remotely.
Key responsibilities: Design realistic program case studies spanning target validation, lead optimization, and IND-enabling studies Curate multi-modal preclinical data bundles, including SAR/potency panels and GLP toxicology data Evaluate findings across modalities and development stages to inform program go/no-go decisions
Required qualifications: Advanced degree (MS/PhD/PharmD) in pharmacology, toxicology, or a related biomedical field, or equivalent industry experience 3+ years of hands-on experience in pharma or biotech drug discovery/development Direct experience with lead optimization, candidate nomination, or IND-enabling study design Experience interpreting PK/PD, ADME, and GLP toxicology data Familiarity with IND-enabling regulatory requirements and nonclinical data packages expected by FDA/EMA

Also on the board Same function, level within a rung

Level

Senior

Location

Denver, CO

Occupation

Biological Scientists, All Other

Industry

Research and Development in Biotechnology

Posted

yesterday

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