James Staley is a genetic statistician and computational genetics leader with 10+ years of experience translating human omics data into drug discovery insights. He currently directs computational genetics at UCB, where he has built pipelines and led strategy to identify and validate therapeutic targets using large-scale genetic and epigenetic datasets. As head developer of PhenoScanner and the EWAS Catalog, he combines hands-on software development with methodological innovation in causal inference and high-dimensional phenotype analysis. Trained with a PhD in Human/Medical Genetics (Cambridge) and advanced degrees in medical statistics and mathematics, he bridges rigorous statistics and practical genomics applications. Known for creating widely used omics association databases, he brings both academic depth and industrial impact to genetics-driven target discovery.
10 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Human/Medical Genetics, Doctor of Philosophy - PhD, Human/Medical Genetics at University of Cambridge
Master's degree, Medical Statistics, Master's degree, Medical Statistics at London School of Hygiene and Tropical Medicine, U. of London
Master's degree - MSci, Mathematics, Master's degree - MSci, Mathematics at University of Birmingham
Hypothesis prioritisation in multi-trait colocalization
Contributions:10 releases, 39 commits, 2 PRs in 3 years 8 months
colocalizationtrait
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