The Max-Planck-Society (MPG) is the premier basic research branch in Germany. The Max-Planck Institute for Informatics, located in Saarbrücken and founded in 1991, is devoted to Computer Science and Information Technology. In 2001 the institute established a Department of Computational Biology under the direction of Prof. Dr. Thomas Lengauer, Ph.D.
Current research activities directed by Prof. Lengauer include the following areas:
Computational Genomics and Epigenomics: Here methods are developed for the statistical analysis of genomic and epigenomic patterns in DNA sequences, with a special focus on the identification, optimization, and validation of cancer biomarkers. Furthermore the evolution of epigenomes is a focus of research. More info on research positions in this area.....
Structural Bioinformatics: Here we analyze and predict protein structures from sequence and develop methods for inferring elements of protein function from protein structure. Our research is targeted both to generally applicable methods and to the analysis of special medically relevant proteins, including protein-drug interactions.
Host-Virus interaction networks: Here we analyze molecular interaction between the human host and viral pathogens, currently notably HIV and HCV.
Viral evolution: We have developed leading method for analyzing the resistance of HIV to combination drug therapies and the evolutionary escape of HIV to drug resistance. This research has yielded software accessible via the internet (www.geno2pheno.org) that is used for the support of treatment of HIV patients. Wee currently extending the technology to Hepatitis C (caused by HCV) and Hepatitis B (caused by HBV)
GISAID: The Global Initiative For Sharing All Influenza Data (www.gisaid.org) is an international consortium that aims at providing the largest generally available dataset on influenza virus strains for the purposes of analysis and in order to foster the development of computational methods interpreting these data. The Department of Computational Biology at the Max Planck Institute for Informatics is developing the software for the internet portal of GISAID and, especially its EpiFlu Database.
The Department of Computational Biology at the Max-Planck Institute for Informatics is a partner in a larger Computational Biology Center in Saarbrücken (http://www.zbi.uni-saarland.de), together with groups from the University of the Saarland, where several curricula in Computational Biology are being offered. The Department cooperates in several national and European research consortia that comprise biologists, virologists and physicians and has access to data generated in genome centers as well as in clinical practice. Currently, especially applicants are sought for projects in the following fields:
The Research division offers an unrestricted research environment with exciting interdisciplinary problems on novel biological data and leading-edge expertise in one of today's most dynamic scientific disciplines. We are looking for people that are highly qualified and motivated to do interdisciplinary research. Expertise in programming and knowledge in algorithms or statistics is desired. Basic knowledge of molecular biology/biochemistry is required for all applicants. The more senior positions require an internationally competitive research record in computational biology.
Applicants should have an academic background in one or more of the following fields: informatics, mathematics, biology, biochemistry, medicine, pharmaceutics or pharmacology. Programming experience and basic university-level knowledge of mathematics and algorithmics or statistics are required. Ph.D. candidates will work towards the Ph.D. in Informatics with a focus on Computational Biology. Postdocs can work towards additional qualifications for subsequent positions in both the computer science and biology fields.
Applications should include the usual information such as curriculum vitae, motivation letter, copies of certificates, a list of publications and email of two or three references. The Max-Planck Society is an equal opportunity employer. Qualifications being equal, precedence will be given to candidates with disabilities.