Sven-eric Schelhorn is an Associate Director in Oncology Bioinformatics with 12+ years of experience combining deep expertise in genomics, virology and statistical learning to drive predictive biomarker discovery and precision-medicine approaches. At Merck he leads development and validation of GxP/GDPR‑compliant cloud HPC platforms and applies machine learning to multi-omics, clinical imaging and real‑world data for DDR and ADC programs. He has hands-on mastery of second-, third- and emerging single‑cell sequencing technologies, de novo assembly and time‑series/assembly‑driven methods for subclonal disease. A PhD-trained bioinformatician with a background in cognitive science, he excels at translating complex computational methods into usable, reproducible pipelines (Galaxy power user) and at steering small interdisciplinary teams. Notably, he blends rigorous academic pedigree with pragmatic operational leadership—designing big‑data pipelines that meet both regulatory and research demands.
12 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Dr. rer. nat) at MPI for Informatics (Lengauer Lab), Bioinformatics, with distinction/summa cum laude/best of class, Doctor of Philosophy (Dr. rer. nat) at MPI for Informatics (Lengauer Lab), Bioinformatics, with distinction/summa cum laude/best of class at Max Planck Society
Master of Science (MSc), Bioinformatics, with distinction/honours first class, Master of Science (MSc), Bioinformatics, with distinction/honours first class at Universität des Saarlandes
Bachelor of Science (BSc), Cognitive Science, with distinction/honours first class, Bachelor of Science (BSc), Cognitive Science, with distinction/honours first class at Universität Osnabrück
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
Contributions:423 comments, 161 issues in 4 years 4 months
scalablecallingrnaseqvariant-callinggenomics
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Sven-eric Schelhorn - Associate Director Oncology Bioinformatics