Cancer genomes show tremendous inter and intra heterogeneity. We develop computational tools aiming at dissecting such heterogeneity and ultimately understand the mutational processes driving tumour initiation and progression. You will work in collaboration with clinicians, biologists and physicists to apply and develop computational tools to study the molecular processes leading to tumorigenesis, cancer population dynamics and acquisition of resistance to therapy. You will work under the direct supervision of Dr. Maria Cartolano and in tight collaboration with the Computational Cancer Genomics group led by Prof. Dr. Martin Peifer.
You must hold a master’s degree in bioinformatics, statistics, biology or a related field, and have a strong interest in performing research combining method development and actual data analysis. Experience in LINUX/UNIX, in scripting and or software development (e.g., R, Python, C/C++) and knowledge of statistical methods are required. Previous experience with Next Generation Sequencing (NGS) data will be considered a plus. We expect a highly motivated candidate with good communication skills, proactive, independent and solution-oriented.
If we raise your interest please send your application including a letter of motivation, your CV, contact information of two academic references, and relevant certificates (as one PDF file).
- An international and multidisciplinary research environment
- Participation in numerous seminars within the field of translational cancer biology
- Intensive mentoring
- A very friendly working environment
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.
The Research Mission of the Department of Translational Genomics is to understand the impact of somatic genetic alterations in cancer cells on the highly complex regulatory network of signaling pathways. Therefore we link basic research and the application of new findings with translational research to close the loop, linking disciplines and delivering therapies to patients more rapidly.
Our Department is highly interdisciplinary, covering expertise in biochemistry and signaling, structural biology, medicinal chemistry and structure-guided drug design, cancer immunology and inflammation, molecular pathology, mouse models, cancer genomics as well as computational genomics.