The University Medical Center Schleswig-Holstein is one of the largest university hospitals in Europe with more than 80 clinics and institutes. It offers outstanding medical treatment and excellence in research and education with nearly 14,500 employees, 2,600 patient beds and more than 100,000 hospitalized patients, 240,000 outpatient cases and in excess of 3,000 births a year. We provide top research at the interface of medicine, science and technology. 

The Institute for Cardiogenetics (www.cardiogenetics-luebeck.de) in Lübeck was founded in 2013 and team members apply in-silico as well as in-vitro and in-vivo methods to further unravel the genetics of cardiovascular diseases. We are engaged in large networks of national and international collaborations (like CARDIoGRAMplusC4D, PlaqOmics (www.plaqomics.com), and VIAgenomics (www.viagenomics.com)) and actively participate in data and sample exchange. 

Our mission is to integrate the latest developments in experimental and theoretical genetics to discover novel therapeutic targets for cardiovascular diseases.

To fulfill this mission the Institute for Cardiogenetics is searching for a motivated scientist with diverse experiences and interests in genetics to join our interdisciplinary team to transform human disease genetic discoveries into testable therapeutic hypotheses for cardiovascular diseases. This statistical genetics/genetic epidemiology position within the Institute for Cardiogenetics provides a unique opportunity to harness the information from human genetics, genomics, and clinical data to support the development of novel therapeutics for coronary artery disease. This position includes the possibility for “Habilitation” in cardiogenetics.

Your role:

• Manage statistical design and analysis of association studies (GWAS and RVAS) from NGS and chip-based studies
• Collaborate with computational and wet-lab biology for mechanism elucidation as well as with biomedical informatics to reveal mechanistic insight into coronary artery disease processes
• Leverage academic and public-private partnerships with publicly available data for target ID and validation
• Prepare written and oral presentations of results and present them to the team and the public
• Maintain and organize large amounts of genetic data and summary statistics
• Supervise PhD, master’s and bachelor’s degree students
• Acquire third-party funding

Your profile:

• PhD/doctoral degree in statistical genetics, genetic epidemiology or biostatistics, ideally with relevant professional experience
• Strong scientific publication record 
• Familiarity with management and analysis of large genetic studies (N>>100,000; e.g. UK Biobank)
• Knowledge of the following: statistical genetics software (PLINK, MaCH, IMPUTE2, HLA*IMP, METAL, EPACTS, SKAT, EIGENSOFT etc.), next-generation sequencing statistical analysis (sample/variant QC, association analysis), meta-analysis (theory and analysis), modern summary statistical analysis (LD-score regression, colocalization etc.), Mendelian randomization
• Programming/scripting skills (Python/Perl/Shell/etc.), statistical programming skills (R/MATLAB)
• Strong communication and presentation skills in German and English both spoken and written for dealing both with technical and non-technical audiences and coordinating projects with various labs around the globe

What we offer:

This is a fixed-term position for 3 years, with the possibility of extension. Weekly working time is 100% of a full-time position (currently 38,50 hours per week). Working part-time is possible. Salary will be, depending on qualifications, according to the German salary scale 13 TV-L. The preferred starting date is 1 April 2020. 

The UKSH has been certified as a family-friendly institution and is committed to further improving the compatibility of work and family life. The University Medical Center Schleswig-Holstein is an equal opportunity employer. People with disabilities will be given preference in case of equal qualifications. 

Does that sound interesting?

For more details on the position, please contact Prof. Dr. Jeanette Erdmann (Jeanette.erdmann@uni-luebeck.de). Questions on administrative aspects can be addressed to Sina Knodel via email: karriere@uksh.de. More information on the University Medical Center Schleswig-Holstein can be obtained online at www.uksh.de/karriere.

We are looking forward to your application. Please submit your application until 19 March 2020, indicating your earliest possible starting date as well as the reference number 20200127, via our online portal: www.uksh.de/Bewerbung.html?nr=20200127

Universitätsklinikum Schleswig-Holstein
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