Hendrik Weisser is a Senior Scientific Data Architect with 16 years' experience at the intersection of bioinformatics, data science and research software engineering, currently based in Cambridge. He has led and built bioinformatics teams and platforms across industry and academia, driving drug-discovery programs (including work on the first-in-class METTL3 inhibitor STC-15) and building production-ready data management and QC pipelines for proteomics and epitranscriptomics. Technically fluent in C++, R and Python, he is a core contributor and software architect on the widely used OpenMS mass-spectrometry framework, where he implemented new identification-processing functionality and a nucleic-acid search engine for multiplexed PRM. Hendrik combines hands-on algorithm and tool development with strategic leadership—having secured grant funding, supervised multi-institution collaborations and translated omics analyses into clinical-biomarker insights. Notably, he has applied machine learning to both biomarker discovery and predictive modeling across large public datasets (DepMap/CCLE, TCGA), bridging research-grade methods with production analytics.
16 years of coding experience
14 years of employment as a software developer
Visiting student, Visiting student at New York University
Doctor of Sciences Computational Biology, Doctor of Sciences Computational Biology at ETH Zürich
Master of Science (M.Sc.) Honor's Degree Bioinformatics, Master of Science (M.Sc.) Honor's Degree Bioinformatics at Universität des Saarlandes
Contributions:79 reviews, 1200 commits, 117 PRs in 13 years 3 months
Contributions summary:Hendrik's contributions focused on implementing new functionality within the OpenMS codebase, specifically adding functions for filtering and processing identification data within the "IDFilter" class. Their work involved the creation of new methods for handling "IdentificationData," marking helper functions as const, and making the "isBetterScore" method public. They also integrated a new class called "NucleicAcidSearchEngine", with a support for MS2 spectra from multiplexed PRM experiments, indicating a broader architectual contribution. This included the implementation of various metrics and scores for analysis of genomic data within the mass spectrometry.
Contributions:4 reviews, 11 PRs, 355 pushes in 9 years 3 months
codebaserefactoringplsqlopenms
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