Postdoctoral Researcher at The University of Freiburg
Freiburg im Breisgau, Baden-Württemberg, Germany
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Summary
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Miguel Cosenza-Contreras is a proteomics data scientist and postdoctoral researcher with eight years of experience applying mass spectrometry and computational methods to cancer, cardiac disease, and infection biology. Trained as a biologist with a PhD from the University of Freiburg, he bridges experimental design and reproducible data analysis, developing R/Bioconductor pipelines for complexome profiling, co-immunoprecipitation, and proteolytic activity studies. His expertise spans TMT and label-free quantification, proteogenomics, terminomics and lipidomics integration, alongside R package development and reproducible workflows (Quarto/Markdown). At the SFB1381 he builds and maintains bioinformatic infrastructure that turns challenging multi-omics experiments into interpretable biological insights. Colleagues value his combination of hands-on sample- and instrument-level knowledge (Q Exactive, timsTOF) with rigorous statistical modeling and machine learning. An often-overlooked strength is his ability to translate detailed bench protocols into scalable, version-controlled analysis pipelines that accelerate collaborative clinical research.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Biology, General, Suma cum laude, Doctor of Philosophy - PhD, Biology, General, Suma cum laude at The University of Freiburg
Biologist (Licenciado), Biology/Biological Sciences/Biostatistics, Biologist (Licenciado), Biology/Biological Sciences/Biostatistics at Universidad de Carabobo
Masters degree, Biological Sciences: Molecular Biology and Structural Biochemistry, Masters degree, Biological Sciences: Molecular Biology and Structural Biochemistry at Federal University of Ouro Preto
Contributions:5 releases, 47 commits, 32 pushes in 8 months
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