Johan Reimegård is a bioinformatic researcher with over a decade of experience applying proteomics, transcriptomics and machine learning to large-scale life science data at Science for Life Laboratories. He holds a PhD in bioinformatics from Uppsala University and during a postdoc at KTH advanced methods for de novo transcriptome assembly and expression analysis of high-throughput sequencing data. Johan’s work spans method development—such as antisense RNA target prediction—and practical data analysis pipelines that bridge computational innovation and experimental biology. Colleagues describe him as a collaborative researcher who steadily contributes to the scientific community while adopting new techniques. He seeks projects that deliver societal and environmental impact, combining deep domain knowledge with hands-on problem solving. An underappreciated strength is his long-term focus on reproducible, scalable analyses that make complex omics datasets actionable.
13 years of coding experience
Doctor of Philosophy (PhD), Bioinformatics, Doctor of Philosophy (PhD), Bioinformatics at Uppsala universitet
Contributions:5 commits, 4 pushes, 1 branch in 7 days
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