Brian Bender is a computational chemist and senior research investigator with 11 years of experience driving hit identification and lead optimization across GPCRs, proteases, and other enzyme targets. He combines deep expertise in protein structure prediction, virtual screening, molecular dynamics and AlphaFold-driven workflows to tackle targets often lacking experimental structures. Based in Cambridge, he bridges science and engineering by partnering closely with software developers to improve drug discovery tools and usability. His background spans academia and industry—from postdoctoral hit-finding at UCSF to senior roles at Sosei Heptares and Isomorphic Labs—reflecting a track record of translating structural insight into actionable chemistry. Colleagues know him as a pragmatic protein modeler and drug designer who brings both rigorous pharmacology training (PhD, Vanderbilt) and hands-on computational craftsmanship to complex discovery problems.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Pharmacology, Doctor of Philosophy - PhD, Pharmacology at Vanderbilt University
Bachelor of Arts (BA), Biochemistry, Bachelor of Arts (BA), Biochemistry at Colgate University
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