Genomic AI Scientist at Standard Model Biomedicine
London, England, United States
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
π€
Senior
π
Top School
Brian Schilder is a Genomic AI Scientist with eight years of experience building scalable computational frameworks that bridge machine learning and multi-omic biology to advance precision medicine. He developed in silico, cell-typeβaware latent models during his PhD to map genome-phenome relationships and now applies foundation-model approaches to personalized disease risk and target discovery. As Lead Data Scientist at 120/80 he translates complex biomedical data into strategic, reproducible insights for pharma and digital health clients, and he enforces end-to-end reproducibility by embedding version-controlled code in publications. His background spans academic research at Cold Spring Harbor and Mount Sinai to industry consultation, reflecting a rare combination of deep computational skill, translational focus, and a paleoanthropology-rooted curiosity about biological systems.
8 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Biology & Machine Learning, Doctor of Philosophy - PhD, Computational Biology & Machine Learning at Imperial College London
Bachelor of Science (Sc.B.), Cognitive Neuroscience, Bachelor of Science (Sc.B.), Cognitive Neuroscience at Brown University
Master of Philosophy (M.Phil.), Human Paleobiology, Master of Philosophy (M.Phil.), Human Paleobiology at The George Washington University
Find and Hire Top DevelopersWeβve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Brian Schilder - Genomic AI Scientist at Standard Model Biomedicine