Jan Attig is a Principal Scientist in Bioinformatics and Statistics with eight years of experience translating genomics and clinical data into actionable biomarker strategies, currently leading exploratory and predictive analyses for oncology and immunotherapy at Roche in Basel. Trained as a PhD scientist at Cambridge and an expert R programmer with 10+ years of experience, he builds and maintains production-ready R packages, reproducible analysis pipelines, and semi-automated testing to support regulatory-standard outputs (SDTM/ADaM). His work spans bulk and single-cell RNAseq, high-parameter cytometry, and NGS quality assessment, and he regularly applies machine learning and advanced regression techniques (LASSO, random forest, time-to-event models) to patient stratification and target validation. A former academic researcher, he discovered tumor-specific retroelement-driven isoforms with implications for cancer vaccines, and he brings that bench-to-computational perspective into reverse-translation of clinical trials. As a people coach he also fosters team growth and pragmatic adoption of best coding practices via R Markdown and GitHub workflows.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD) Biosciences, Doctor of Philosophy (PhD) Biosciences at University of Cambridge
Bachelor of Science Molecular Biology, Bachelor of Science Molecular Biology at Heidelberg University
Master of Science (MSc) Biochemistry and Molecular Biology, Master of Science (MSc) Biochemistry and Molecular Biology at University of Basel
Contributions:42 commits, 35 pushes, 1 branch in 11 days
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Jan Attig - Principal Scientist Bioinformatics And Statistics