Nick Harding is an Associate Director of Data Science with 11 years of experience applying statistical and computational methods to genomics and precision medicine. He combines deep domain expertise in NGS, gene expression and per-base ML models with pragmatic software engineeringāfavoring tools like dask, xarray, polars and zarr to build scalable, queryable biological data structures. Experienced both in academia (Oxford) and industry, he has led teams and optimized processes to turn unstructured biological inputs into structured, reproducible analyses and pipelines (Snakemake/CWL) on cloud platforms. His background in Bayesian networks and probabilistic modelling informs rigorous approaches to complex problems such as biomarker development and functional genomics. A practical open-source author (genomeplot, xpclr) who cares as much about data design as algorithms, he often focuses on how data structures drive long-term code quality and maintainability.
11 years of coding experience
11 years of employment as a software developer
Ph.D. Bayesian Network Models in Epidemiology, Ph.D. Bayesian Network Models in Epidemiology at The University of Manchester
B.A. (Hons) Biological Sciences, B.A. (Hons) Biological Sciences at University of Oxford
M.Sc Genetic Epidemiology, M.Sc Genetic Epidemiology at The University of Sheffield
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