Job Van Riet is a Senior Consultant and computational biologist with 10 years of experience building production-grade AI, ML and cloud solutions that bridge research-grade genomics with enterprise requirements. He moved from postdoctoral work in cancer genomics—developing reproducible pipelines, novel algorithms and proteogenomic tools—to architecting multimodal and generative AI systems focused on compliance, cybersecurity and automated workflows at scale. His background includes building Nextflow pipelines, cohort-wide WGS analyses, and tools like SNPitty and ProteoDisco, reflecting a strong track record in algorithm development and infrastructure. He emphasizes explainability, governance and reproducibility when turning complex biological data into measurable business impact. Based in Maastricht, he blends deep domain expertise in single-cell and tumor genomics with pragmatic software engineering to deliver enterprise-ready solutions. Colleagues describe him as someone who translates dense biology into auditable, scalable systems rather than just models on a laptop.
10 years of coding experience
11 years of employment as a software developer
MBO, IT Management, Graduated top of class with honours, MBO, IT Management, Graduated top of class with honours at ROC ASA Amersfoort
Pharmaceutics and Drug Design, Pharmaceutics and Drug Design at NBIC PhD School
Master's Degree, Biomathematics, Bioinformatics, and Computational Biology, Master's Degree, Biomathematics, Bioinformatics, and Computational Biology at Wageningen University
Bachelor's Degree, Bioinformatics, All subjects > 8 average, Bachelor's Degree, Bioinformatics, All subjects > 8 average at Hogeschool van Arnhem en Nijmegen
Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology, Doctor of Philosophy - PhD, Biomathematics, Bioinformatics, and Computational Biology at Erasmus University Rotterdam
Minor, Biomathematics, Bioinformatics, and Computational Biology, 8, Minor, Biomathematics, Bioinformatics, and Computational Biology, 8 at Vrije Universiteit Amsterdam
Generates protein variant sequences based on imported mutations from VCF, MAF and additional files to generate a protein-variant database for use in proteogenomics studies
Contributions:47 commits, 5 PRs, 33 pushes in 1 year 4 months
additionalmafbioinformaticsmutationsdatabase
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