Jonas Kuhn
Senior Software Engineer at Harmonica
Auckland, Auckland, New Zealand
Summary
👤
Senior🎓
Top SchoolJonas Kuhn is a Senior Software Engineer based in Auckland, New Zealand, with nine years of experience building production software across scientific and commercial domains. He has progressed from research and scientific development roles into engineering and team leadership, contributing long-term at Dotmatics and leading teams at Insightful Science. Jonas designs and delivers end-to-end projects—including standalone products, Google Sheets apps, and Discourse plugins—demonstrating a practical full-stack mindset and product-focused delivery. Currently at Harmonica, he continues to blend domain knowledge from his biotechnology education (M.Sc., University of Freiburg) with hands-on engineering. Colleagues describe him as someone who moves smoothly between research nuance and pragmatic software execution, often turning complex scientific workflows into accessible tools. He brings a rare combination of lab-born rigor and production engineering discipline to cross-functional teams.
9 years of coding experience
13 years of employment as a software developer
Bachelor of Science - BS, Biology, General, Bachelor of Science - BS, Biology, General at The University of FreiburgMaster of Science (M.Sc.), Ingeneer Diploma, Biotechnology, Master of Science (M.Sc.), Ingeneer Diploma, Biotechnology at ESBS / University FreiburgGymnasium Weikersheim
English, French, German
Github Skills (35)
bash7
linux7
rust6
shell6
macos6
sequence6
intelligent5
zsh5
fasta5
genome-assembly5
assembler5
genome5
assembly4
jira4
bioinformatics4
Programming languages (5)
Github contributions (5)
derjogi/discuss
Mar 2020 - Apr 2020
Simple Jitsi conversation coordinator
Contributions:18 commits in 22 days
jitsi
Biomatters/geneious-mira
May 2021 - May 2022
The MIRA (Mimicking Intelligent Read Assembly) genome fragment assembler is great for ‘tricky’ projects with high numbers of repeats and it can handle hybrid data. MIRA is used for tasks such as mutation detection in different cell types, similarity analysis of transcripts between organisms, and pristine assembly of sequences from various sources for oligo design in clinical microarray experiments. It works best on sequences with up to 100-150 megabases or 20-40 million reads.
Contributions:2 reviews, 2 PRs, 2 pushes in 11 months
sequencegenomeclinicaltranscriptssimilarity-analysis
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