Summary
Jens Hooge is a Senior Technical Lead with 12 years of experience translating bioinformatics and data science research into production-grade ML and AI solutions at Bayer. He progressed from hands-on computational scientist and bioinformatician to principal data scientist and now technical lead, combining deep domain knowledge in genomics and clinical biomarker discovery with strengths in feature selection, ensemble learning, Bayesian methods and high-performance computing. His background includes building NGS analysis pipelines and interactive data visualizations, and he is comfortable bridging R&D and IT innovation to operationalize predictive models. Colleagues benefit from his blend of scientific rigor and pragmatic engineering—he often pairs advanced statistical approaches with production-minded software design to solve complex life-sciences problems. A less obvious strength is his long trajectory across lab bench work and large-scale computing, giving him rare empathy for both experimentalists and engineers.
12 years of coding experience
15 years of employment as a software developer
Diploma, Bioinformatics, Diploma, Bioinformatics at Eberhard-Karls-Universität Tübingen / University of Tuebingen
Biological-Technical Assistant, Biotechnology, Biological-Technical Assistant, Biotechnology at Berufsbildende Schule für Naturwissenschaften
Abitur, Major Subjects: Mathematics, English, Abitur, Major Subjects: Mathematics, English at Abendgymasium (AGR) Reutlingen
German, English, Portuguese