Computational ADMET Scientist - Drug Metabolism / Metabolomics

Deep Origin is hiring a Computational ADMET Scientist with deep expertise in drug metabolism to design and build predictive systems for Phase I and Phase II metabolic pathways. The role contributes to AI-driven tools that predict metabolic routes, enzyme or isoform involvement, sites of metabolism, regioselectivity, and metabolite toxicity to support safer and faster drug design.

Design and build predictive systems for Phase I and Phase II metabolic pathways, contribute to AI-driven tools for predicting metabolic routes and enzyme involvement, work across data mining, statistical and kinetic modeling, cheminformatics, machine learning, and computational chemistry, and collaborate across a cross-functional scientific team.

Deep expertise in drug metabolism, ability to work at the intersection of data mining, statistical and kinetic modeling, cheminformatics, machine learning, and computational chemistry, and comfort working fully remote. One public version also states that applicants must be authorized to work for any employer in the U.S. and that visa sponsorship is not available.

Deep Origin is an AI-powered drug discovery company that helps scientists and biotech teams accelerate small-molecule drug discovery. Its platform combines molecular physics, computational chemistry, and AI-driven tools for workflows such as docking, molecular analysis, patent molecule extraction, and simulation-based research.