Department of Dermatology and Allergy of the University Hospital Schleswig-Holstein (UKSH)/Quincke Research Center in Kiel
The research group of Prof. Dr. Stephan Weidinger at the Department of Dermatology and Allergy/Quincke Research Center is looking for a highly motivated PhD student in the field of molecular bioinformatics/ biostatistics. Within several large-scale projects funded by the EU, DFG and through industry collaborations we aim to define cellular and molecular mechanisms of chronic inflammatory skin diseases and search for molecular classifiers and for biomarkers associated with disease manifestation, progression, and therapy response. Our research group is embedded in a medical research environment and employs state-of-the-art molecular profiling methods on deeply phenotyped prospective cohorts, in particular and single cell sequencing technologies.
Start in our team
We are looking for professional and competent support to start as soon as possible, limited for 3 years. The working place will be within the Quincke Research Centre situated on the UKSH Campus Kiel.
What we offer:
* We offer an excellent and exciting multidisciplinary team-oriented research environment and the opportunity of being part of the national and international scientific community
* We offer flexible working hours and the opportunity to regularly participate in advanced training courses and (inter)national scientific congresses.
* Part-time employment currently 25 hours/week
* The salary will be based on the German E13 TV-L scale, if terms and conditions under collective bargaining law are fulfilled
* Our working group cooperates closely with the Institute of Medical Informatics and Statistics (IMIS), the Institute of Clinical Molecular Biology (IKMB) and the CCGA (“Comprehensive Centre for Genome Analysis”)
Your role:
* The successful candidate will manage and analyse existing and upcoming large-scale next-generation sequencing (NGS) datasets on skin diseases
* A main focus of the candidate will be projects related to the clinical and molecular characterization of (previously identified) patient subgroups as well as biomarkers and treatment targets
Your profile:
* A completed academic degree (Master or equivalent) with solid background in bioinformatics, mathematics, computer science, computational biology, life science or similar fields
* Experience with machine learning methods will be a plus
* A good understanding of basic immunology will be a plus
* Good English writing and communication skills and a strong interest in multidisciplinary research. German language skills are appreciated but no pre-requisite
We are looking forward to your application. Please submit your application until 21.07.2025, indicating your earliest possible starting date as well as the reference number 26886.