Summary
Halfdan Rydbeck is an experienced bioinformatician with over a decade of applied work translating complex omics data into reproducible insights for clinical genomics, cancer, evolutionary and proteomics research. He combines deep hands-on skills—from NGS preprocessing, sequence assembly across non-human genomes and PacBio methylome analysis to integrative proteomics, imaging and clinical data—with practical experience running HPC and LIMS-driven pipelines. With a PhD in bioinformatics and roles spanning research labs and regional healthcare, he focuses on transparent, automated workflows and staying current with computational omics methods. Known as a communicative, emotionally intelligent teammate, he pairs rigorous analytical problem solving with a collaborative teaching background (Software Carpentry) that helps bridge research and clinical settings. An interesting thread across his career is frequent work at the interface of tool development and biological interpretation, such as integrating Genomic HyperBrowser and custom R pipelines for multi-omic discovery.
11 years of coding experience
10 years of employment as a software developer
University of Oslo
Master's degree, Bioinformatics, Master's degree, Bioinformatics at Chalmers University of Technology
Master's degree, Molecular Biology, Master's degree, Molecular Biology at University of Gothenburg
English, Swedish, Norwegian