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Drug discovery is a prediction problem. Scientists design molecules that they predict will be potent, safe, and readily absorbed into the body, but ultimately lab experiments must be run to know whether these predictions are accurate. Each one of these experiments can take weeks
At Inductive Bio, we're helping drug hunters find better medicines, faster, through our virtual lab and AI-enabled synthesis and testing approach. Chemists have historically relied on slow, resource-intensive design-make-test-analyze (DMTA) cycles to find molecules that are effec
Inductive’s Beacon-1 placed 1st in the three most recent consecutive OpenADMET blind challenges. We've raised $30M from top VCs, and were selected for a $21M ARPA-H CATALYST contract in collaboration with Amgen. The Role: We're looking for a seasoned computational chemist to jo
Beacon-1 placed 1st in both the 2025 Polaris and 2026 OpenADMET-ExpansionRx blind competitions, ahead of Merck & Co + NVIDIA and EMD Serono. We've raised $30M from Obvious Ventures, a16z Bio + Health, and Lux Capital, and were selected for a $21M ARPA-H CATALYST award to develop
At Inductive Bio, we're helping drug hunters find better medicines, faster, through our virtual lab and AI-enabled synthesis and testing approach. Chemists have historically relied on slow, resource-intensive design-make-test-analyze (DMTA) cycles to find molecules that are effec
At Inductive Bio we’re tackling the challenge of making drug discovery more efficient. Scientists spend countless hours combining data, expertise, and intuition to create new molecules that are effective, safe, and work well in the human body. It’s a slow, complex process, and th
The most important way that AI can benefit humanity is to accelerate scientific discovery. At Inductive, we are doing just that. Our models have won the leading AI for drug discovery chemistry benchmark three times in a row. Our in-house agentic AI platform is already deployed ac
At Inductive Bio, we're helping drug hunters find better medicines, faster, through our virtual lab and AI-enabled synthesis and testing approach. Chemists have historically relied on slow, resource-intensive design-make-test-analyze (DMTA) cycles to find molecules that are effec