Research Data Analyst / Bioinformatician / Data Scientist(m/w/x)

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. **Ihre Aufgaben** * Develop and implement statistical methods and analysis strategies to pinpoint clinically relevant genomic variation in individuals or via cohort-based approaches * Interaction with bioinformaticians, data analysts and clinicians to introduce new features and continuously improve NGS data analysis pipeline functionality * Participation in European research projects of the lab to develop and improve cutting edge molecular diagnostics (focus long-read technologies) * Contribute to standardized detection/prediction and reporting of therapeutically targetable genomic variation **Ihr Profil** * 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 **Ihre Vorteile bei uns** * Opportunity to join one of Europe's leading, scientifically highly productive teams at the forefront of NGS-based diagnostics and biomedical research * International, attractive, and interdisciplinary working environment * Working with important consortia in the field of rare diseases, e.g. ERDERA, the German Initiative for Clinical Long-read Sequencing (lonGER), and EU-funded Recon4IMD * Flexible working hours and home-officing policy * Possibilities for further scientific qualification and for personal development