Postdoc (m/f/d) Institute for Cardiogenetics

The Institute for Cardiogenetics (www.cardiogenetics-luebeck.de) was established in 2013, comprising teams in Bioinformatics and Experimental Research. Team members employ and integrate in-silico, in-vitro, and in-vivo methods to unravel the genetics of cardiovascular diseases. We have a large dataset and are involved in extensive networks of national and international collaborations, such as CARDIoGRAMplusC4D, PlaqOmics, and VIAgenomics. Additionally, we actively participate in data and sample exchange initiatives.

Ihre Aufgaben

• Statistical design and analysis of association studies (GWAS & RVAS) from NGS and chip-based studies, or molecular QTLs (eQTL, sQTL etc.) as well as single-cell OMIC techniques (single cell RNAseq, single cell ATACseq etc)

• Collaborating with computational and wet-lab biologists for mechanism elucidation

• 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

Ihr Profil

The ideal candidate will have a Ph.D. in computational biology (bioinformatics, genomics, …) and research experience in the field of cardiovascular genomics, although we welcome applications from candidates with diverse educational backgrounds, including physics, and (bio)statistics, mathematics, biology or medicine. A computational background is not strictly necessary, but you must be keen to work in a dry setting. The following knowledge can be plus:

• 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.) and statistical programming skills (R/MATLAB) and programming/Scripting skills (Python/Perl/Shell/etc.)

• Knowledge of next-generation sequencing statistical analysis (sample/variant QC, association analysis) and knowledge of meta-analysis theory and analysis and knowledge of modern summary statistical analysis (LD-score regression, co-localization etc.)

• Knowledge of Mendelian Randomization

• Excellent command of spoken and written English

Wir bieten Ihnen

• The salary will be paid in accordance with remuneration group E13 TV-L (Public Sector Collective Agreement)

• You work full time, 38,5 hours a week, based on a fixed-term contract for one year, with a possibility of extension. Part-time employment is also possible.

• The position includes possibility of Habilitation in Cardiogenetics

• A stimulating environment with freedom to develop new research directions

• Training in human and mouse genetics, systems, and computational biology through interactions with lab members and workshops/courses offered on campus

• Possibility to experience international mobilization (USA, Finland, Netherlands, Sweden)

Kontakt

Veröffentlicht am: 27.11.2024 Standort:

Lübeck, Schleswig-Holstein, DE, 23538 25321 Stichwörter: 25321

Arbeiten am Universitätsklinikum der Zukunft

Das Universitätsklinikum Schleswig-Holstein (UKSH) verbindet internationale Spitzenforschung mit interdisziplinärer Krankenversorgung. Wir sind einziger Maximalversorger und größter Arbeitgeber des Landes. Unsere mehr als 16.000 Mitarbeitenden stellen eine höchst individuelle Versorgung sicher - unverzichtbar für die Menschen in Schleswig-Holstein.

*Das UKSH und seine Töchter folgen den Grundsätzen der Chancengleichheit, wir schätzen Vielfalt. Darum begrüßen wir ausdrücklich Bewerbungen von allen Mitgliedern der Gesellschaft. Kontinuierlich arbeiten wir an der Gleichstellung aller Geschlechter.

Campus Lübeck

Veröffentlicht am: 27.11.2024 Standort:

Lübeck, Schleswig-Holstein, DE, 23538 Ausschreibungsnummer: 25321

Haben Sie Fragen?

Ihr Kontakt zu uns: Marina Ladewig #0451-3101 8301 Recruiter: Anna Wolbert # 0451 - 500 11195 # https://rmkcdn.s