Postdoc - Computational Biology

Heidelberg, Baden-W├╝rttemberg (DE)
July 13 2016
Ref-No. 176/2016
Job Type

The German Cancer Research Center is the largest biomedical research institution in Germany. With more than 2,700 employees, we operate an extensive scientific program in the field of cancer research.

The Division of Signaling and Functional Genomics is seeking a

Postdoc - Computational Biology

(Ref-No. 176/2016)


The Division of Signaling and Functional Genomics at the German Cancer Research Center in Heidelberg systematically analyzes cancer signaling pathways using a combination of experimental and computational approaches to identify novel signaling factors and to understand how signaling networks are controlled and embedded in physiological processes.  We are seeking a highly motivated postdoctoral candidate with an interest in interdisciplinary research.

The postdoctoral project will be part of an ERC Advanced Grant with the aim to create a systematic synthetic genetic interaction map of a metazoan cell. Based on experimental and computational methods that we recently pioneered (Fischer et al. 2015 eLife; Horn et al. 2011 Nature Methods; Axelsson et al. 2011 BMC Bioinformatics), we plan to quantitatively measure genetic interactions between genes on a large-scale using Drosophila cells as a model. This will include parallel phenotyping by multiparametric imaging of genetic interactions by combinatorial RNAi. One major task will be the computational analysis of the phenotype measurements. The project will advance new computational approaches and will provide fundamental insights into the cellular circuitries that govern many processes in metazoan cells.

Your profile:

We are particularly looking for highly motivated postdoctoral researchers with a background in computational biology that have experience in analysis of big data. Candidates should have an academic degree (Ph. D.) in computational biology, bioinformatics, biology or related field and have published previous work in a peer-reviewed journal. Knowledge in high-throughput / high-content screening data analysis is an advantage. The candidate should be able to work independently and also have excellent team working skills. The position further requires organizational qualifications and the ability to communicate effectively with internal and external collaborators. An excellent written and oral command of English is essential. Names and contact information of at least two references should be provided.

The position is limited to 2 years. The position can in principle be part-time.

For further information please contact

Prof. Dr. Michael Boutros, phone +49 6221 42-1951.

The German Cancer Research Center is committed to increase the percentage of female scientists and encourages female applicants to apply. Among candidates of equal aptitude and qualifications, a person with disabilities will be given preference.

To apply for a position please use our online application portal (

We ask for your understanding that we cannot return application documents that are sent to us by post (Deutsches Krebsforschungszentrum, Personal- und Sozialwesen, Im Neuenheimer Feld 280, 69120 Heidelberg) and that we do not accept applications submitted via email. We apologize for any inconvenience this may cause.