David Jones

Principal Bioinformatic Infrastructure Engineer

Cambridge, England, United Kingdom
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts
email-iconphone-icongithub-logolinkedin-logotwitter-logostackoverflow-logofacebook-logo
Join Prog.AI to see contacts

Summary

👤
Senior
🎓
Top School
David Jones is a Principal Bioinformatic Infrastructure Engineer with 12+ years building production-grade computational platforms for genomic and health data research, currently leading infrastructure and rollout at Health Innovation East. He combines deep bioinformatics experience—authoring the CaVEMan substitution caller and working across sequencing technologies—with strong cloud and engineering skills in AWS, Infrastructure-as-Code, Python, Perl and C. At the Wellcome Sanger Institute he progressed from research assistant to principal developer, bridging research requirements and robust, auditable systems for large-scale sequencing projects. Comfortable across databases, pipeline design and Linux-based deployment, he focuses on reproducible, scalable solutions that make complex sequence analysis accessible to domain scientists. Based in Cambridge, he brings an unusual mix of hands-on algorithm development and infrastructure leadership that accelerates translational genomics work.
code12 years of coding experience
job19 years of employment as a software developer
bookBSc Molecular Cell Biology, BSc Molecular Cell Biology at University of Southampton
bookMSc Bioinformatics, MSc Bioinformatics at University of Westminster
github-logo-circle

Github Skills (42)

genome10
assetbundle10
bioinformatics-analysis10
coverage10
expectation-maximization10
vcf-files10
plugin10
htslib10
sequencing10
bioinformatics10
insertion10
algorithm9
perl9
reference-implementation9
aem9

Programming languages (10)

JavaDockerfileShellRCJavaScriptPerlGroovy

Github contributions (5)

github-logo-circle
cancerit/CaVEMan

Jun 2014 - Sep 2022

SNV expectation maximisation based mutation calling algorithm aimed at detecting somatic mutations in paired (tumour/normal) cancer samples. Supports both bam and cram format via htslib
Contributions:1 review, 356 commits, 6 PRs in 8 years 4 months
expectation-maximizationhtslib
cancerit/CASM-Smart-Phase

Nov 2021 - Apr 2022

Docker and associated CASM utility scripts for Smart-Phase (https://github.com/paulhager/smart-phase)
Contributions:15 reviews, 4 PRs, 84 pushes in 5 months
docker
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.
Request Free Trial