• Minimum Qualifications Master's degree (MSc) in bioinformatics, biostatistics, human genetics, computational biology, or a related field, or equivalent in education and experience, plus three years of related experience 
• Advanced degree in in bioinformatics, biostatistics, human genetics, computational biology, or a related field would substitute for experience. Strong foundation in statistical analysis and data visualization
• Familiarity with NGS data analysis under Linux
• Experience with at least one programming language, preferably Python and strong programming skills
• Ideally experience in project management and quality management procedures 
• Fluency in English (min C1 level)
• Preferred Qualifications Familiarity with tools for genome, epigenome and transcriptome interpretation
• Knowledge of statistical principles and methods relevant to human genetics

Our interdisciplinary diagnostics and research team (Haack group) at the Institute of Medical Genetics and Applied Genomics applies state-of-the-art genomics methods to research the molecular mechanisms of genetic diseases. As part of national and international networks, we are establishing new concepts for improved diagnostics and therapies for rare and oncological diseases. In addition to the latest technologies (e.g. long-read genome sequencing), we use integrative analyses of omics datasets for the comprehensive characterisation and improved clinical interpretation of genomic alterations. The close integration of clinic and research ensures the rapid translation of the latest scientific findings, technologies and methods into routine diagnostics. Our aim is to make these benefits available to all our patients and thus support the development of personalised therapies and preventive measures.