Ken Hanscombe is a bioinformatician with 11 years’ experience translating statistical genetics research into production-ready bioinformatics workflows for biobank-scale data. He combines a PhD-backed research background in behaviour genetics and a track record of GWAS and ML-based analyses with hands-on engineering—rewriting legacy pipelines in Python, containerising tools, and deploying Nextflow workflows to HPC and AWS. At Genomics England he has driven workflow portability and CI/CD improvements, while at King’s he built in-house UK Biobank data solutions and authored the widely used ukbtools R package. Comfortable across R, Python, SQL and Terraform, he bridges academic rigour and operational reliability to support large-scale genomic studies. An Early Career Award winner and published lead author, he brings both scientific insight and production engineering discipline to genomic data infrastructure.
11 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Behaviour Genetics, awarded with no corrections, Doctor of Philosophy (PhD), Behaviour Genetics, awarded with no corrections at King's College London
Bachelor of Science (BSc), Psychology, 1st Class Honours, Bachelor of Science (BSc), Psychology, 1st Class Honours at Goldsmiths, University of London
Contributions:92 commits, 86 pushes, 3 branches in 1 year 8 months
Find and Hire Top DevelopersWe’ve 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.