Summary
Raik Otto is a Data Engineer and bioinformatician with 10 years of experience applying machine learning and large-scale data engineering to medical and life-sciences problems. He holds a Ph.D. in Bioinformatics (Magna Cum Laude) and has built production-grade NGS and multi-omics analysis pipelines on HPC platforms for academic groups and industry. Currently at IQTIG he focuses on engineering reproducible analysis workflows with a strong emphasis on medical statistics and quality assurance. His background spans predictive modeling for rare cancers, coordination of research teams, and development of automation that converts noisy heterogeneous biomedical data into robust features for ML. Notably, his work combines hands-on pipeline development with principled statistical practice—bridging research-grade methods and operational data engineering. Based in Berlin, he brings an uncommon blend of deep domain expertise in oncology genomics and practical production experience.
10 years of coding experience
3 years of employment as a software developer
Glasgow University
Bachelor of Science (BSc), Bioinformatics, 2.7, Bachelor of Science (BSc), Bioinformatics, 2.7 at Freie Universität Berlin
Ph.D., Bioinformatics, Magna Cum Laude, Ph.D., Bioinformatics, Magna Cum Laude at Humboldt University of Berlin
German, English, French, Polish