Staff scientist / Postdoc in Computational Biology of Gene Regulation
We invite a computational biologist or biostatistician with a strong interest in questions of gene regulation to join our team at the Gene Center Munich. Our lab studies regulatory processes in Drosophila development at a systems level, using a combination of biochemical, genomic, and computational approaches. Current research is focused on understanding how cis-regulatory elements compute expression to produce defined spatio-temporal patterns, the architecture and function of core promoters, and the regulatory role of chromatin. Our long-term goal is an integrated quantitative model of transcriptional regulation that realistically captures the underlying molecular mechanisms.
The Gene Center is an interdisciplinary institute of the Ludwig-Maximilians-Universitaet Muenchen (LMU) whose 15 research groups study gene regulation at every level, from molecular mechanism to biological system. The Center provides a dynamic, interactive, and internationally diverse scientific environment, located within a vibrant biomedical research campus in Munich-Großhadern.
Your tasks
Computational analysis of a diverse range of genome-scale experimental data aimed at tracking regulatory processes, in particular next generation sequencing (RNA-, ChIP-, MNase-, DNase-Seq), high throughput dual luciferase and other reporter assays, high content screening. Working closely with experimentalists and supported by collaborating computational groups, you will be responsible for developing and implementing appropriate strategies at all levels of analysis, from quality control and statistical evaluation to correlating, integrating and visualizing results and relating them to information from public databases. You will also help advise computational students in the lab.
Your profile
PhD in computational biology, (bio-)statistics, (bio-)physics, bioinformatics or similar qualification, with a strong background in data analysis and applied statistics, preferably of genomic and proteomic data; experience with modeling DNA-protein interactions or image analysis is a plus. Our ideal candidate has excellent analytical and technical/programming skills, combines a creative and fearless approach towards exploring complex data with a genuine interest in tackling the underlying biological problems, and enjoys working within a multi-disciplinary team of scientists.
The salary is according to the TV-L and depends on your qualification and experience. The position is available from September 1, 2013 and will initially be for two years, but we seek a long-term relationship. The LMU is an equal opportunity employer. Please send a single pdf-file with your application (including cover letter, CV, degrees, references) by August 20, 2013 to: Prof. Dr. Ulrike Gaul, email: office-gaul@genzentrum.lmu.de, Gene Center, Ludwig-Maximilians-Universitaet Muenchen, Feodor-Lynen-Strasse 25, 81377 Muenchen, Germany, http://www.gaul-lab.genzentrum.lmu.de.
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