Summary
Enrico Schmitz is a data scientist with nine years of cross-disciplinary experience combining bioinformatics foundations and applied ML for life sciences. With a Master's in Data Science from Radboud University and a bachelor's in Bioinformatics, he has transitioned research-grade signal and sequencing work—NIRS blood-pressure prediction, ChIP-seq/SNP pipelines, and RNA-seq artifact detection—into production-facing roles. Currently at Saddle Point Science Europe, he blends domain knowledge with practical Python and pipeline tooling learned during internships at Alliander and RIVM, and he brings hands-on familiarity with automation frameworks like Snakemake. Notably, his background includes long-term operational experience in industry (production and sales roles), which gives him a pragmatic, delivery-focused approach to data projects and stakeholder collaboration.
9 years of coding experience
Master's degree, Data Science, Master's degree, Data Science at Radboud University
Bachelor's degree, Bioinformatics, Bachelor's degree, Bioinformatics at Hogeschool van Arnhem en Nijmegen
Dutch, English, Italian