PostDoc - Genetic Epidemiology / statistical
genetics - (f/m/d)

The full-time position is limited until 30th April, 2022. The Centre for Genetic Epidemiology (CGE), a newly established unit within Institute for Clinical Epidemiology and Applied Biometry is looking for a postdoctoral with expertise from diverse backgrounds such as genetic-epidemiology, statistical genetics, mathematics, and bioinformatics. CGE has a long-standing experience in studying the genetic architecture of complex diseases including neurodegenerative diseases using state-of-the-art approaches such as exome/genome sequencing, Mendelian randomization, machine learning, artifical intelligence, deep learning etc. Project:
We seek to unravel the role of common and rare variants in Parkinson disease by utilizing a variety of genetic epidemiological approaches. A variety of techniques including next-generation sequencing, machine learning, Bayesian approaches, and 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’s and has access to high-quality next-generation sequencing data. Postdoctoral fellow: The candidate should have experience in handling the next generation sequencing data. It is expected that a postdoctoral fellow will supervise graduate students. Prior working experience on neurodegenerative disease is not mandatory. The position will provide valuable experience to the candidate and will offer a chance to lead their own 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 candidate should have expert level knowledge on R. The advanced knowledge of statistical-genetics approaches and programming languages such as GWAS analyses, Mendelian Randomization, machine learning, C++, Java, Python, and MySQL approaches is desirable. Knowledge of cloud computing will be a valuable asset. 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 Mr. Manu Sharma (manu.sharma@uni-tuebingen.de). We offer remuneration in accordance with TV-L (collective wage agreement for the Public Service of the German Federal States) in addition to all the customary benefits granted to employees working in Public Services. Severely handicapped persons with equal qualifications are given preferential consideration. The University of Tübingen is anxious to increase its quota of female scientific staff, and therefore emphatically requests women to apply for this position. The Administration of the University Hospital is responsible for all employment matters. Personnel appointments will be made pursuant to the fundamental stipulations of the legal statutes for universities in Germany. Interview expenses are not covered. For further information, please contact Mr. Manu Sharma, Phone: +49 7071 29-78259, email: manu.sharma@uni-tuebingen.de Please send your entire application with the reference number 9724 to: