Overview

The Institute for Clinical Epidemiology and Applied Biometry of the University of Tuebingen is offering a
PostDoc – Genetic Epidemiology / statistical genetics – (f/m/d)
for 1 year with 100 %.

The Centre for Genetic Epidemiology (CGE) within Institute for Clinical Epidemiology and Applied Biometry is looking for a postdoctoral fellow 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, artificial intelligence, deep learning, etc.

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 GWAS analyses. The candidate should have expert-level knowledge of R. Advanced knowledge of statistical-genetics approaches and programming languages such as GWAS analyses, Mendelian randomization, and Python is required.
Additional skills in machine learning, and programming languages such as C++, and Java and database management with MySQL will be an asset, but not mandatory. Knowledge of cloud computing will be an asset. 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 one year, and further extension will be possible depending upon the performance and availability of funds.
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.

Application:
Please send your application stating reference number 12491 to:
Universitätsklinikum Tübingen
Institut für Klinische Epidemiologie und angewandte Biometrie
Herr PD Manu Sharma
Silcherstr. 5
72076 Tübingen
E-Mail: manu.sharma@uni-tuebingen.de
Deadline: 30.11.2022
Contact:
If you have any questions, please contact PD Manu Sharma, Tel.: 07071 29-78259, e-mail: manu.sharma@uni-tuebingen.de
Contact:

The Institute for Clinical Epidemiology and Applied Biometryof the University of Tuebingen is offering a
PostDoc – Genetic Epidemiology / statistical genetics – (f/m/d)
for 1 year with 100 %.
The Centre for Genetic Epidemiology (CGE) within Institute for Clinical Epidemiology and Applied Biometry is looking for a postdoctoral fellow 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, artificial intelligence, deep learning, etc.

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 GWAS analyses. The candidate should have expert-level knowledge of R. Advanced knowledge of statistical-genetics approaches and programming languages such as GWAS analyses, Mendelian randomization, and Python is required.
Additional skills in machine learning, and programming languages such as C++, and Java and database management with MySQL will be an asset, but not mandatory. Knowledge of cloud computing will be an asset. 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 one year, and further extension will be possible depending upon the performance and availability of funds. 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.

Application:
Please send your application stating reference number 12491 to:
Universitätsklinikum Tübingen
Institut für Klinische Epidemiologie und angewandte Biometrie
Herr PD Manu Sharma
Silcherstr. 5
72076 Tübingen
E-Mail: manu.sharma@uni-tuebingen.de
Deadline: 30.11.2022
If you have any questions, please contact PD Manu Sharma, Tel.: 07071 29-78259, e-mail: manu.sharma@uni-tuebingen.de