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					 RESEARCH POSITION IN COMPUTATIONAL BIOLOGY                                                     2008




                   Max-Planck Institute for Informatics

                   Postdoctoral Scientist
                   Computational Methods in Docking and Drug Design


     Description            Requirements               Timeframe                   Contact
Postdoctoral position    Background in comp.      As soon as possible.      send e-mail to:
in computational che-    chemistry, program-                                bioinf@
mistry                   ming experience                                    mpi-inf.mpg.de


The Max-Planck-Society (MPG) is the premier        and motivated to join our interdisciplinary
basic research branch in Germany. The Max-         team.
Planck Institute for Informatics is devoted to
Computer Science and Information Technolo-         We are offering the position of a postdoctoral
gy. In 2001 the institute established a Com-       researcher for computational methods in dock-
putational Biology research division under the     ing and drug design. We are especially working
direction of Prof. Dr. Thomas Lengauer, Ph.D.      on including protein flexibility in docking. A
                                                   strong background in developing and applying
Current research activities directed by Prof.      molecular modeling methods is required. Ap-
Lengauer include the areas of medical bioin-       plicants should have extensive experience in
formatics, with a focus on HIV, HCV, and po-       one or several of the following research areas:
lygenic diseases, prediction and analysis of       molecular docking, drug screening, scoring
protein structures, analysis of protein-ligand     molecular complexes. Building up a research
interactions (molecular docking), comparison       group in our department is encouraged. Exper-
of drug molecules, and analysis of mRNA ex-        tise in programming and knowledge in algo-
pression data. In addition, newly established      rithms and statistical learning is desired. The
research fields in the division include func-      candidate should have strong interest in inter-
tional prediction of proteins based on genom-      disciplinary research. The position requires an
ics and proteomics data as well as analysis of     internationally competitive research record in
protein-protein interactions, genetic variation    computational biology or computational chemi-
and epigenomics. Research will continue to         stry.
span new computational methods as well as
innovation in biology and medicine.                Applications should include the usual informa-
                                                   tion such as curriculum vitae, motivation let-
The Computational Biology research division        ter, copies of certificates, a list of publications
at the Max-Planck Institute for Informatics is     and email of two or three references. Please
a partner in a larger Computational Biology        refer to “postdoc in computational chemistry”
Center in Saarbrücken (http://www.zbi.uni-         in your application. The Max-Planck Society is
saarland.de), together with groups from the        an equal opportunity employer. Qualifications
University of the Saarland, where several cur-     being equal, precedence will be given to can-
ricula in Computational Biology are being of-      didates with disabilities.
fered. Furthermore, the Research Division
cooperates with other Max-Planck Institutes,
notably in the areas of Biology and Medicine       Contact for questions:
as well as with Universities, Genome Centers,      lengauer@mpi-inf.mpg.de
and pharmaceutical and biotech industry.
                                                   Send applications to:
The Computational Biology group offers an          Max-Planck-Institut für Informatik
interdisciplinary research environment with        Prof. Dr. Thomas Lengauer , Ph.D.
exciting challenges on novel biological data       Stuhlsatzenhausweg 85
and leading-edge expertise in one of today's       D-66123 Saarbrücken
most dynamic scientific disciplines. We are        e-mail: bioinf@mpi-inf.mpg.de
looking for people that are highly qualified       WWW: http://bioinf.mpi-inf.mpg.de

				
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