The Institute for Cardiogenetics (www.cardiogenetics-luebeck.de) has been 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.
This position will involve collaboration with biomedical informatics, computational biology, and wet-lab biology to reveal mechanistic insight to coronary artery disease processes.
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.
• Statistical design and analysis of association studies (GWAS & RVAS) from NGS and chip-based studies
• Collaborating with computational and wet-lab biologists for mechanism elucidation
• Leveraging academic & public-private partnerships with publicly available data for target ID and validation
• Preparing written and oral presentations of results to the team and the public
• Maintaining and organizing large amounts of genetic data and summary statistics
• Supervising of PhD, master, and bachelor students
• Acquiring third-party grant money
• PhD in statistical genetics, genetic epidemiology or biostatistics; 1-3 years post PhD desired
• Management and analysis of large genetic studies (N>>100,000; e.g. UK Biobank)
• Knowledge of statistical genetics software (PLINK/MaCH/IMPUTE2/HLA*IMP/METAL/EPACTS/SKAT/EIGENSOFT/etc.)
• Statistical programming skills (R/MATLAB)
• Programming / Scripting skills (Python/Perl/Shell/etc.)
• Knowledge of next-generation sequencing statistical analysis (sample/variant QC, association analysis)
• Knowledge of meta-analysis theory and analysis
• Knowledge of modern summary statistical analysis (LD-score regression, co-localization etc.)
• Knowledge of Mendelian Randomization
• Excellent communication and presentation skills to both technical and non-technical audiences
• Strong personal communication skills will be required to coordinate projects with various labs
around the globe
• Strong scientific publication record and excellent command in spoken and written English
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 E13 TV-L. The
preferred starting date is April 1st 2020. Position includes possibility of Habilitation in
The UKSH has been certified as a family-friendly institution and is committed to further improve
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
For more details on the position, please contact Ms Prof. Dr. Jeanette Erdmann
(email@example.com). Questions on administrative aspects can be addressed to
Ms Sina Knodel via e-mail: firstname.lastname@example.org.
We are looking forward to your application. Please submit your application until 19.03.2020,
indicating your earliest possible starting date as well as the reference number 20200127.119.CL
to Ms Prof. Dr. Jeanette Erdmann (Jeanette.email@example.com).
Please do also apply via our online portal www.uksh.de/Bewerbung.html?nr=20200127