Greg Lever is a technical-first leader with 11 years of experience applying machine learning and computational biophysics to accelerate drug discovery and clinical development. As Director of AI Solutions Delivery at IQVIA he leads global teams of ML engineers to operationalise models that shorten development timelines and de-risk trials, having driven products like Asset Intelligence across R&D. His background spans hands-on engineering roles at Genomics England and startups, a PhD in Computational Biophysics from Cambridge and postdoctoral work at MIT, which gives him rare domain depth at the intersection of frontier AI and genomics. He combines people leadership with production ML delivery—building reproducible workflows, model-informed decision tools and cross-border engineering squads. Greg’s work has been recognised in the 100,000 Genomes Project and in peer-reviewed AI research (e.g., AAAI 2020), reflecting both applied impact and academic rigor. He’s comfortable translating complex scientific problems into pragmatic, scalable ML solutions for life sciences clients.
11 years of coding experience
8 years of employment as a software developer
Postdoctoral Research Associate (ChemE), Postdoctoral Research Associate (ChemE) at Massachusetts Institute of Technology
Doctor of Philosophy (Ph.D.) Computational Biophysics, Doctor of Philosophy (Ph.D.) Computational Biophysics at University of Cambridge
Contributions:1 PR, 8 pushes, 2 branches in 2 years 9 months
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