R sig jobs - Dec 2013 - Postdoctoral Scientist in Computational Biology

Dear All,

We are seeking a computational research scientist interested in studying the
roles of non-coding RNAs in cancer. The successful applicant will join the
Cancer Research UK RNA Biology Group at the Cancer Research UK Manchester
Institute (www.cruk.manchester.ac.uk).

Located in Manchester UK, the Cancer Research UK Manchester Institute is a
centre for excellence in cancer research. We occupy state-of-the-art
laboratories and provide exceptional core facilities including next generation
sequencing, mass-spectrometry, advanced imaging, High Performance Computing,
bioinformatics, histology, and flow cytometry. We are core-funded by Cancer
Research UK (www.cancerresearchuk.org), the world?s largest cancer organisation,
are an Institute of The University of Manchester (www.manchester.ac.uk), and are
adjacent to The Christie NHS Foundation Trust (www.christie.nhs.uk), one of the
largest cancer treatment centres in Europe. These factors combine to provide an
exceptional environment in which to pursue basic, translational and clinical
research programmes in a vibrant and dynamic city surrounded by beautiful
countryside and with excellent national and international transport links.

The RNA Biology Group is a highly interdisciplinary team that integrates
software engineering, computational biology and bioinformatics with bench and
clinical science, in order to perform integrated studies of transcriptional
systems and how they are disrupted in cancer cells. The group has a particular
focus on long non-coding RNAs (lncRNAs), and makes heavy use of global genomics
technologies including RNA-seq, microarrays and quantitative protein mass
spectrometry to investigate lncRNA function both in model systems (see for
example (Bitton et al. 2011, Mol Syst Biol)) and in clinical cohorts.

The successful applicant will work collaboratively with bench scientists in the
group to explore the role of long non-coding RNAs in regulating the dynamics of
protein expression. They will be an excellent programmer and confident applying
statistical approaches and techniques from machine learning.

Experience in analysing complex biological datasets would be advantageous,
however applicants from a purely computational background, who are able to
demonstrate their ability to work successfully across disciplines, will also be
considered. Excellent programming skills in a subset of R, Matlab, C, C++ or
Java are a prerequisite, while parallel programming and SQL experience would
both advantageous.

For more information and to apply, please visit our website at
cruk.manchester.ac.uk.


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