We are looking to support our rapidly growing team as soon as possible:
Kinderklinik - Department of Experimental Pediatric Oncology
TV-L: 38,5 h/week (100%)
limited for 3 years according to WissZeitVG within the framework of a third-party funded project
Your salary will be based on TV-L
TV-L: 38,5 h/week (100%)
limited for 3 years according to WissZeitVG within the framework of a third-party funded project
Your salary will be based on TV-L
We are looking for a talented and motivated Bioinformatician/Computational Biologist/Computer Scientist with a strong interest in genomics and biology of pediatric cancer. The candidate will be involved in the analysis and interpretation of large-scale next-generation sequencing datasets from pediatric tumor samples. In addition, the candidate will contribute to the development and implementation of computational workflows and analysis pipelines for high-throughput genomic data and participate in the integration of different molecular data types. Particular emphasis will be placed on the analysis of single cell sequencing data and spatially resolved transcriptomics data to investigate tumor heterogeneity and tumor microenvironment interactions in neuroblastoma and related pediatric malignancies. Beyond computational analyses, the candidate will contribute to data interpretation, visualization, and the development of novel analytical concepts for the study of complex cancer genomic datasets. The position includes close collaboration with experimental and clinical researchers and will involve close interaction with the Department of Translational Genomics.
The position requires a university degree in a relevant field, such as bioinformatics, computational biology, computer science, mathematics, physics, or a related discipline. Preferably, applicants hold an advanced degree (Master of Science or Ph.D.), although candidates with a Bachelor’s degree and substantial relevant research experience will also be considered. Applicants should have strong experience in the analysis of highthroughput sequencing data, particularly genomic and transcriptomic datasets. Solid programming and data analysis skills, preferably C++, R and/or Python, are expected, as well as experience working with large-scale biological data. A genuine interest in cancer biology and pediatric oncology research is essential. Experience with spatial transcriptomics or related spatial genomics technologies is highly desirable. Candidates should have good communication skills and be able to drive scientific projects with a high degree of independence.
We are one of the leading university hospitals in Germany and network research, teaching and health care at the highest level. That's why many things are a lot bigger for us: the spectrum of exciting development opportunities. The limitless openness with which specialists from all over the world work together here. Or our commitment as an employer to support all employees as best we can in reconciling their job with their goals and life situations.
This is the University Hospital of Cologne: Everything but ordinary.
We are one of the leading university hospitals in Germany and combine cutting-edge research with clinical excellence. The Department of Experimental Pediatric Oncology provides a dynamic and highly collaborative research environment with strong connections between
basic science, genomics, and clinical oncology. The successful candidate will work in the group of PD Dr. Carolina Rosswog, embedded in the Department of Experimental Pediatric Oncology led by Prof. Matthias Fischer. The candidate will collaborate closely with Bioinformaticians from the Department of Experimental
Pediatric Oncology and from the group of Prof. Martin Peifer from the Department of Translational Genomics. The University Hospital Cologne provides access to state-of-the-art genomics technologies, computational infrastructure, and interdisciplinary research networks.
People with disabilities are welcome to apply and will be treated preferentially in the event of equal suitability and qualification. The position is suitable for staffing with part-time employees.
PD Dr. Carolina Rosswog
Tel: +49 221 478-15050
Universitätsklinikum Köln AöR
Geschäftsbereich Personal
Kerpener Str. 62
50937 Köln
Application deadline: 31.05.2026
Job-ID: 7087nqg8
We look forward to receiving your application and getting to know you!
Working with Cologne University Hospital means developing the future – the future of medicine, the future welfare of patients and the future of your career.
Our 1.500-bed-hospital is obliged to provide maximal medical care. We are passionate about a scientific-oriented innovative medicine.
Our constant economic growth is one aspect of our operations but we strongly focus on our social responsibility in medical research, education and healthcare as well. Cologne University Hospital provides not only top of the range medical care but is also one of Cologne's biggest employers. We are facing our social responsibility every single day. With 59 clinics and institutes and more than 10.000 employees we are among the top university hospitals in Germany.
