Postdoctoral Position (m/w/*)
Institute for Cardiogenetics at the University of Lübeck
The University Medical Center Schleswig-Holstein (UKSH) combines top international research
with interdisciplinary patient care. We are the only maximum care provider and largest employer
in Schleswig-Holstein. Our more than 14,500 employees ensure highly individualized care -
essential for the people of Schleswig-Holstein.
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.
To fulfill this mission the Institute for Cardiogenetics (www.cardiogenetics-luebeck.de) is
searching for a creative, motivated scientist with diverse experiences and interests in genetics to
join an interdisciplinary team to transform human disease genetic discoveries into testable
therapeutic hypotheses 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-
•Collaborating with computational and wet-lab biologists for mechanism elucidation
•Leveraging academic & public-private partnerships with publicly available data for target ID and
•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
•Statistical programming skills (R/MATLAB)
•Programming / Scripting skills (Python/Perl/Shell/etc.)
•Knowledge of next-generation sequencing statistical analysis (sample/variant QC, association
•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
(Jeanette.firstname.lastname@example.org). Questions on administrative aspects can be addressed to
Ms Sina Knodel via e-mail: email@example.com.
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.firstname.lastname@example.org).
Please apply via our online portal www.uksh.de/Bewerbung.html?nr=20200127
More information on the University Medical Center Schleswig-Holstein can be obtained online at
www.uksh.de/karriere and /IIEG_Luebeck/.
Human Resource Management | Recruiting Center