Description
Role description includes ownership of computational chemistry programs across therapeutic modalities, collaboration with Biology and Medicinal Chemistry teams, collaboration with ML Engineering and AI Research team, teaching, managing team operations, and advancing drug discovery processes; qualifications include Ph.D. in computational chemistry or related discipline, 3+ years experience in drug discovery/biotechnology, experience with QC methods (ORCA, xTB, CREST), MD simulations (GROMACS, OpenMM), drug design packages (EG, Schrodinger, MOE, CRESSET), HPC clusters and cloud services (Azure, AWS), Python and Bash scripting, RDKit, basic ML knowledge, and strong collaboration and communication skills; onsite role per #LI-Onsite; benefits listed.
Company
1910.ai is an AI-native biotech company building the ITO Platform to accelerate drug discovery for small- and large-molecule therapeutics. The platform integrates multimodal data, frontier AI models, and high-throughput lab automation to provide an infrastructure for AI-enabled discovery. The company positions itself as a platform partner for pharmaceutical and biotech programs, offering collaboration through a Co-Engineering program to tailor data, models, and tools to client discovery goals. Public materials describe AI-driven advances, including PEGASUS models for macrocyclic peptides and CNS-target predictions, underscoring a product strategy that blends AI research with practical drug design workflows.
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