Doctoral Researcher (m/f/d) position in Human Disease Genetics and Bioinformatics
The University Medical Center Schleswig-Holstein is one of the largest university hospitals in Europe with more than 80 clinics and institutes. It offers outstanding medical treatment and excellence in research and education with nearly 13,000 employees, 2,600 patient beds and more than 100,000 hospitalized patients, 240,000 outpatient cases and in excess of 3,000 births a year. We provide top research at the interface of medicine, science and technology.
We offer a funded doctoral (PhD) project to be pursued in a vibrant interdisciplinary research environment in Kiel. The project is part of a larger effort to unravel the genetic and environmental risk factors contributing to inflammatory bowel disease (IBD). In this project, we specifically aim at understanding regulatory variation in HLA immune genes, and how this variation associates with HLA allele-specific expression and T cell repertoire dynamics in the context of IBD. Results from this project will contribute to our understanding of complex immune-mediated diseases and may aid in the development of innovative therapeutic approaches. The project is jointly supervised by Prof. Andre Franke (Institute of Clinical Molecular Biology (IKMB), Kiel) and Dr. Tobias Lenz (Max Planck Institute (MPI) for Evolutionary Biology, Plön).
Kiel is a vibrant student city in Northern Germany, located directly at the Baltic Sea. It offers a rich variety of opportunities for water sports (e.g. diving, sailing and surfing) as well as other recreational and social activities. Kiel University hosts many international students and is geographically well connected through its proximity to several Scandinavian countries.
Your role:You work on an exciting scientific project in bioinformatics / computational biology.
You interact with other researchers (m/f/d) in a highly collaborative environment.
You analyse real clinical data using a state-of-the-art computing environment.
You benefit from research stay at external partner laboratories, tutorials, and soft skill courses.
Your profile:You are an enthusiastic doctoral researcher (m/f/d) with a master’s or diploma degree in computational biology, bioinformatics, or a related discipline (e.g. mathematics, statistics, informatics).
Excellent communication skills in English are required.
Some prior knowledge in statistics and NGS data analysis is preferred.
What we offer:This is a fixed-term position for 3,5 years.
Weekly working time is 65% of a full position; salary will be according to the German salary scale TV-L 13; starting date: as soon as possible.
You will be working within a stimulating network of scientists (m/f/d) and clinicians (m/f/d) at various institutes in and around Kiel (see also DFG Cluster of Excellence “Precision Medicine in Chronic Inflammation”, http://inflammation-at-interfaces.de/en). We offer an exceptional technical infrastructure (we operate Germany’s largest academic next generation sequencing facility, high-performance computing clusters, e.g. at the “Center of Molecular Biosciences” (ZMB, www.zmb.uni-kiel.de).
We offer structured supervision by two supervisors from complementary fields, regular meetings with the groups, field-specific trainings according to individual needs, and soft skill courses.The UKSH (to which the IKMB also belongs) has been certified as a family-friendly institution and is
committed to further improving 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 qualifications.
Does that sound interesting?For more details on the position, please contact Prof. Andre Franke (E-Mail: [Email Address Removed]). More information on the University Medical Center Schleswig-Holstein and the Medical Clinic II can be obtained online at www.uksh.de/karriere and www.uksh.de/med2-kiel.
We are looking forward to your application. Please submit your application until 02.08.2019, indicating your earliest possible starting date as well as the reference number 20190340, via our online portal: www.uksh.de/Bewerbung.html?nr=20190340