Michael Jahn
Bioinformatics Scientist
Fürstenwalde/Spree, Brandenburg, Germany
Summary
👤
Senior🎓
Top SchoolMichael Jahn is a Bioinformatics Scientist with a decade of life-science experience translating high-throughput omics and functional genomics experiments into actionable insights. Currently a senior researcher at the Max Planck Unit for the Science of Pathogens, he combines hands-on wet-lab knowledge (NGS library prep, proteomics, microbiology) with robust computational pipelines in R and Python to study bacterial pathogens. His background spans postdoctoral systems biology and metabolic engineering at KTH and a PhD in biotechnology from Leipzig, underpinning a track record of funding success, teaching, and mentoring junior scientists. Known for exploratory data visualization, clustering and ML applications, he also champions open data and research policies—helping projects scale from single-cell proteomics to CRISPR screening analyses. An often-overlooked strength is his ability to bridge experimental design and reproducible bioinformatics workflows, reducing friction between bench and computation.
8 years of coding experience
2 years of employment as a software developer
Doctor's Degree, Biotechnology, 1.0, Doctor's Degree, Biotechnology, 1.0 at Leipzig UniversityMaster's degree, Biology/Biological Sciences, General, 1.2, Master's degree, Biology/Biological Sciences, General, 1.2 at Technische Universität Dresden
Github Skills (79)
voronoi10
snakemake10
coverage10
rcpp10
functional-genomics10
shiny-apps10
computational-biology10
ggplot10
bacteria10
next-generation-sequencing10
mass-spectrometry10
r-package10
microbiology10
hierarchical-data10
r9
Programming languages (7)
Github contributions (5)
m-jahn/R-tools
Jan 2019 - Oct 2022
Contributions:66 commits, 76 pushes, 4 branches in 3 years 10 months
MPUSP/snakemake-bacterial-riboseq
Aug 2024 - Apr 2026
Bacterial-Riboseq: A Snakemake workflow for the analysis of riboseq data in bacteria.
Contributions:1 review, 9 PRs, 23 pushes in 1 year 7 months
snakemakebioinformatics-pipelinecondariboseqribosome-profiling
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