[BioC] Job offer: Postdoc Comp. Biol. of RNA-protein interactions, data analysis of MS and HTS at EMBL Heidelberg

[Wolfgang Huber]

Postdoctoral Fellowship: Computational biology of RNA-protein
interactions - data analysis of mass spectrometry and high-throughput
sequencing

RNA-protein interactions are a largely uncharted territory of biology,
yet play a major part in gene regulation. Recent progress in
quantitative mass spectrometry is opening the door to the systematic
mapping of RNA-binding proteins (RBPs); it is complemented by
immunoprecipitation and high-throughput sequencing (CLiP, iCLIP,
PAR-CLiP). The Hentze group is at the forefront of applying these
approaches to biological areas that range from medically-relevant RBPs
(NMD, 3'end processing) to RBPs involved in the regulation of metabolism
(Castello*, Fischer* et al., Cell, in press). For computational
scientists, this new field of biology offers exciting opportunities,
ranging from the development of statistical algorithms for primary
analysis of new data to data integration and systems-level inference.

We are looking for a PhD-level computational scientist who is interested
in being actively involved in the design and analysis of new experiments
in quantitative mass spectrometry, CLiP and their derivates. He/she will
address novel questions in the intersections of applied statistics,
machine learning, bioinformatics and systems biology. He/she will be
practically responsible for the design and execution of cutting-edge
data analysis workflows for the experimental projects in the group.

The position is situated in the group of Matthias Hentze at the EMBL in
Heidelberg, Germany, with a joint appointment with the group of Wolfgang
Huber in the Genome Biology Unit. Medically-relevant RBP projects emerge
from collaborations within the Molecular Medicine Partnership Unit
(MMPU) of EMBL and the University of Heidelberg.

Qualifications and Experience: The successful candidate should hold a
PhD in a quantitative or computational discipline (e.g. bioinformatics,
physics, computer science, statistics). Ability for multidisciplinary
work covering applied statistics, bioinformatics, the biology of gene
expression, and experimental technologies as well as strong mathematical
and computational skills are mandatory. Experience in data analysis and
familiarity with data analysis languages (R, Matlab, Python) are
expected. A good publication record (which can include academic papers
and scientific software) is required.

An ability to independently take responsibility over his/her own
project, as well as strong teamwork and communication skills, are
required as well as reliability, attention to detail and effective time
management. Motivation to work in a multidisciplinary and international
environment is fundamental to this position. Good communication and
presentation skills and fluency in English are expected.

Please apply online through www.embl.org/jobs

Additional Information

The European Molecular Biology Laboratory (EMBL) is one of the highest
ranked scientific research organisations in the world. The Headquarters
Laboratory is located in Heidelberg (Germany) and the outstations are in
Grenoble (France), Hamburg (Germany), Hinxton (UK) and Monterotondo
(Italy). EMBL is an inclusive, equal opportunity employer offering
attractive conditions and benefits appropriate to an international
research organisation.

Please note that appointments on fixed term contracts can be renewed,
depending on circumstances at the time of the review.

Closing Date: 20 May 2012
Reference number: HD_00228


URL:
http://ig14.i-grasp.com/fe/wrapdev_print.asp?key=47077837,352514347621&j=48626,5677455998