Doctoral Researcher (m/f/d) (Wissenschaftliche/r Mitarbeiter/in)

Die Medizinische Hochschule Hannover (MHH), mit rund 10.000 Beschäftigten größter Landesbetrieb des Landes Niedersachsen, ist eine universitäre Einrichtung für Forschung und Lehre in der Human- und Zahnmedizin und ein Universitätsklinikum der Supramaximalversorgung. Forschung, Lehre, Krankenversorgung und Administration arbeiten im Integrationsmodell auf dem MHH-Campus Hand in Hand.About UsThe Department of Human Genetics at Hannover Medical School is one of the largest academic human genetics institutions in Germany, integrating comprehensive clinical diagnostics, translational research, and academic education. Supported by modern high-throughput technologies, our research directly serves patient care by uncovering the genomic determinants of rare diseases, identifying cancer risk factors, and changing lives through precise diagnostics.In this setting close to clinical application with availability of large-scale data, we are seeking a dedicated bioinformatics PhD student to join the Professorship for Genomic Data Science, which focuses on developing algorithms, statistical methods, and software to automatically detect and analyze complex genetic variations in large-scale datasets.Your Responsibilities- Drive a cutting-edge genomics project focused on developing algorithms to efficiently process large, long-read whole-genome sequencing datasets.- Design and program an innovative software tool for structural variant detection.- Benchmark and validate your tool using both synthetic data and real patient datasets to ensure its clinical utility.- Continuously monitor the international state of research in structural variation detection.- Share your findings with the scientific community by co-authoring high-impact publications and presenting them at international conferences.Your Qualifications- M.Sc. degree in bioinformatics, computational biology, computer science, data science, or a related field.- Strong interest in the biological and computational questions arising from genome sequencing and human genomic variation.- High motivation to develop algorithms and statistical models, and to implement and evaluate them using C++ and Python. Proven programming experience is a plus.- Comfortable working with the Linux command line, version control (Git), and high-performance computing (HPC) environments.- Proficiency in file formats, tools and workflows for WGS data analysis is a plus.- Genuine enthusiasm for scientific research, curiosity, and a willingness to...

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