as soon as possible
full-time; limited for 3 years according to WissZeitVG Third-party funded project
Your salary will be based on TV-L

» Your tasks

We are looking for a talented, curious and experienced computational biologist with a strong interest in cancer genomics and cancer biology. The successful candidate will be involved in standardizing computational workflows, software development, large scale IT processes, high-performance computation, and developing novel concepts for the analysis of highly complex data sets in order to gain insight into cancer biology.

» Your Profile

The position requires a PhD degree in a relevant field, such as physics, mathematics, cancer research, computational biology, bioinformatics or biostatistics. Profound experience in the computational/mathematical analysis of complex data sets as well as programming skills (preferably C++, R or phyton) are mandatory. Candidates should have a genuine interest in cancer biology, good communication skills, and should be capable of driving projects with a high degree of independence.

» Our Offer

We offer a great work environment, intensive mentoring and several interactions with global leaders, both from academia and industry. In addition, the highly collaborative research environment in Cologne provides us with access to state-of-the-art core facilities, including genomics, proteomics and imaging.

» Your future with us

Working at the University Hospital Cologne and the Medical Faculty means helping to shape the future - the future of medicine, of patients and, of course, your own future. You benefit from 59 clinics and institutes as well as numerous other departments and facilities and more than 10,000 jobs. The Faculty of Medicine of the University of Cologne and the University Hospital Cologne assume important social tasks in research, teaching and patient care. A close network with many university and non-university partners guarantees an internationally successful science and the excellent education of our students.

» Your future in detail

Embedded in highly dynamic and competitive research environment with multiple national and international collaborations, our group is focused on understanding fundamental aspects of cancer using high-throughput data and developing advanced computational models. We analyze genome, transcriptome and proteome data acquired with state-of-the art novel technologies from massively parallel sequencing (whole genome, whole exome, and transcriptome sequencing), single cell sequencing approaches and single cell proteomics. We thus aim to better understand the biological impact of genome alterations and molecular profiles identified in these malignant cells, and their evolution during tumor progression. Following a strong interdisciplinary approach, our lab is tightly connected to experimental and clinical working groups on the campus. Thus, allowing us to funnel results from computational analyses into experimentally testable hypotheses.

Further information is available here and here.

Applications from female candidates are expressly welcome and will be given priority in the event of equal suitability, competence and professional performance.

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.

Dr. Martin Pfeifer
Application deadline: 20.11.2022
Universitätsklinikum Köln AöR
Geschäftsbereich Personal
Job-ID: 00003376
50937 Köln