Description
Role Description: Propose and prototype AI and Machine Learning solutions that address use cases in 1910’s design pipeline. Apply productized AI and Machine Learning models to advance 1910’s active drug design campaigns with minimal support from senior members of the AI Research Team. Write and publish peer reviewed scientific articles with minimal support from senior members of the AI Research Team. Periodically presenting recent AI research at internal journal clubs. Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics questions. Keep up-to-date on cutting-edge research in the AI for drug discovery space.
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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