We combine excellence in research, teaching and patient care. The University Hospital Bonn is a maximum care hospital with more than 1,300 beds. With around 38 clinics and 31 institutes as well as more than 8,000 employees (over 5,000 full-time staff), the UKB is one of the largest employers in Bonn. Every year, the UKB treats around 50,000 inpatients and around 35,000 emergencies, as well as providing over 350,000 outpatient treatments.
The Institute of Human Genetics, University of Bonn, invites applications for a
PhD position in Bioinformnatics, Computational and Network Biology (m/f/d) (100%)
starting June 2022 or as agreed upon. The position is initially limited to three years, with the possibility of extension.
The Institute of Human Genetics is one of Germany’s leading centers in the study of the genetic basis of diseases. It provides a unique scientific environment for researchers, which combines expertise in the analysis and interpretation of genomic data with access to state-of-the-art high-throughput genomic technologies (microarrays, next- and third-generation-sequencing). As a department of the University Hospital, the Institute also has a central role in the care of patients and families with genetic diseases. The clinical divisions of the Institute work closely with the research groups.
The PhD position will be based in the newly founded research group for Pharmacogenomics, which intends to explore the functional consequences of genetic variation and potential intervention points using innovative computational methods. The PhD position will be integrated into the PhD Program of the School of Medicine at the University of Bonn and the Graduate School of Clinical and Population Sciences. Successful program candidates are awarded a PhD.
- Work on interdisciplinary projects to build networks that systematically map gene-gene and drug-gene relationships that regulate cellular function
- Further develop existing and build novel computational methods to analyze and integrate omics data with a focus on cell line and context-specific perturbation (CRISPR) screens and single cell multi-omics data to characterize clinically relevant genetic variant. This data will also be utilized to functionally delineate genetic variation from studies at the Institute of Human Genetics
- Diploma or a master’s degree in Computational Biology, Bioinformatics, Computer Science, or a related subject
- Experience with the programming languages such as R, Python or MATLAB and fair statistical knowledge are required
- Experience with cloud computing and R shiny web app development would be beneficial
- Interest in building solutions to navigate and browse analyses results
- Excellent written and oral command of English is essential, knowledge of German is beneficial
- High motivation as well as strong interest in linking human genetics and network biology
- Ability to work in a team
- An innovative research project with the availability of a modern laboratory environment and cutting-edge genomic and computational technologies
- A salary according to the German salary scale TV-L (EG 13)
- Occupation retirement scheme (VBL)
- Possibility to use the day care center
The University of Bonn is committed to diversity and equal opportunity, and is certified as a family-friendly university. It aims to increase the proportion of women in areas where women are under-represented and to promote their careers in particular. Therefore, we strongly encourage applications from qualified women. Applications will be handled in accordance with the State Equalty Act (Landesgleichstellungsgesetz). Applications from individuals with a certified severe disability and from those of equal status, are particularly welcome.
Further information can be obtained by emailing Jun.-Prof. Maximilian Billmann (PhD_PhaGen@uni-bonn.de).
Applicants should send their application in a single PDF-file, including cover letter, detailed CV, scanned academic degrees, and the contact details of two referees, by email only to PhD_PhaGen@uni-bonn.de until 08.06.2022. The email should specify Reference number 220_2022.
Jun.-Prof. Dr. Max Billmann
Institute of Human Genetics
University Hospital Bonn