[BioC] Postdoctoral position for 'Statistical Methods in Bioinformatics'

[Adrian Alexa]

Postdoctoral position for 'Statistical Methods in Bioinformatics'
Max-Planck-Institute for Informatics, Saarbruecken, Germany

The Max-Planck-Society (MPG) is the premier basic research branch in
Germany. The Max-Planck Institute for Informatics is devoted to
Computer Science and Information Technology. In 2001 the institute
established a Computational Biology research division under the
direction of Prof. Dr. Thomas Lengauer, Ph.D.

Current research activities directed by Prof. Lengauer include the
areas of medical bioinformatics, with a focus on HIV, HCV, and
polygenic diseases, prediction and analysis of protein structures,
analysis of protein-ligand interactions (molecular docking),
comparison of drug molecules, and analysis of mRNA expression data. In
addition, newly established research fields in the division include
functional prediction of proteins based on genomics and proteomics
data as well as analysis of protein-protein interactions, genetic
variation and epigenomics. Research will continue to span new
computational methods as well as innovation in biology and medicine.

The Computational Biology research division 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.
Furthermore, the Research Division cooperates with other Max-Planck
Institutes, notably in the areas of Biology and Medicine as well as
with Universities, Genome Centers, and pharmaceutical and biotech
industry.

The Computational Biology group offers an interdisciplinary research
environment with exciting challenges 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 join our interdisciplinary team.

We are offering the position of a postdoctoral researcher for
statistical methods in bioinformatics. A strong background in applied
statistics or statistical learning is required. Applicants should have
extensive experience in one or several of the following research
areas: statistical analysis of expression data, statistical analysis
of protein interaction data, statistical methods supporting the
prediction of protein function, biostatistics, statistical genetics.
Expertise in programming and knowledge in algorithms is desired. The
candidate should have strong interest in interdisciplinary research.
The position requires an internationally competitive research record
in computational biology, applied statistics, or statistical learning.

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. Please refer to
'postdoc in statistical bioinformatics' in your application. The
Max-Planck Society is an equal opportunity employer. Qualifications
being equal, precedence will be given to candidates with disabilities.

Timeframe: As soon as possible.

Contact for questions: lengauer at mpi-inf.mpg.de


Send applications to:
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Max-Planck Institute for Informatics
Prof. Dr. Thomas Lengauer, Ph.D.
Stuhlsatzenhausweg 85
D-66123 Saarbruecken
e-mail: bioinf at mpi-inf.mpg.de
WWW: http://bioinf.mpi-inf.mpg.de