Postdoctoral fellow (f/m/d)

The full-time-position is available as soon as possible and is offered for 3 year with further extension expected. We seek to unravel the role of common and rare variants in Parkinson's disease by utilizing a variety of genetic epidemiological approaches. A variety of techniques including next-generation sequencing, machine learning, Bayesian approaches, and the use of standard statistical-genetics packages such as PLINK, SKAT, and meta-analytical approaches will be applied to understand the genetic etiology of PD. CGE is a part of multinational consortia and has access to high-quality next-generation sequencing data. The candidate should have experience in handling next-generation sequencing data. It is expected that a postdoctoral fellow will supervise graduate students. The candidate will lead the ongoing whole-genome sequencing project. The candidate should have previous experience in performing next-generation sequencing analyses such as exome, whole genome analyses, and single-cell RNA sequencing. The previous knowledge of running long-range whole genome analysis will be an asset. The candidate should have expert-level knowledge of Python. Advanced knowledge of bioinformatics tools required for running genome analysis is required. The programming languages such as C++ and/or JAVA and database management will be an asset. Knowledge of cloud computing will be an asset, but not mandatory. Prior working experience in neurodegenerative disease is not mandatory. The position will provide valuable experience to the candidate and will offer a chance to lead their projects. The position will require communication with research groups around the globe. Strong personal communication skills will be required to coordinate projects with various labs around the globe. The position will be for 36 months, and further extension will be possible depending upon the performance and availability of funds. The positions will be open until we find an appropriate candidate. Please send your application including a letter of motivation, CV, list of publications, copies of certificates, and the names of at least two references as a single pdf file to. We apply the collective agreement for the public service of the federal states (TV-L), severely disabled persons are given priority in case of equal suitability. Presentation costs can unfortunately not be covered. Please observe the applicable vaccination regulations. As the University of Tübingen aims to increase the proportion of women among its academic staff, women are strongly encouraged to apply. Employment is based on the relevant provisions of university law.