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Opportunity: Computational Biologist (Genome Statistical Analyst) @ University of Manchester, UK
Submitted by Human Resources; posted on Friday, February 26, 2016
BACKGROUND
The Cancer Research UK Manchester Institute (http://www.cruk.manchester.ac.uk), an Institute of The University of Manchester (http://www.manchester.ac.uk), is a world-leading centre for excellence in cancer research. The Institute is core funded by Cancer Research UK (http://www.cancerresearchuk.org), the largest independent cancer research organisation in the world. We are adjacent to The Christie NHS Foundation Trust (http://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.
Our aim is to understand the fundamental basis of cancer and apply that knowledge to developing new treatment strategies for cancer patients. Our advanced research programmes span a spectrum of cancer research, from the molecular and cellular basis of cancer through to drug discovery, translational research and clinical trials.
The Institute has outstanding laboratory facilities and exceptional core services, including next generation sequencing, microarrays, confocal microscopy, computational biology, histology and mass-spectrometry.
We are situated in Manchester, England, a vibrant and dynamic city that is surrounded by beautiful countryside and has excellent transport links both nationally and internationally.
RESPONSIBILITIES
We are seeking a highly motivated computational biologist to join the Computational Biology Support Team. They will work with deep sequencing and proteomics data generated by our on site facilities and will make extensive use of our own 2,000 core HPC cluster that resides in a dedicated water cooled machine room on site. The successful candidate will work in an exciting and dynamic environment to address novel questions at the interface between state of the art technology and cancer biology.
The successful applicant will hold a PhD in Computational Biology/Bioinformatics, Mathematics, or related discipline (or equivalent relevant experience), and have significant expertise in the analysis of next generation sequencing (NGS) datasets. Background in a relevant discipline such as Computer Science or Physics is also desirable.
REQUIREMENTS
The post holder will join an established team of computational biologists to work collaboratively with multiple research groups across the Institute. The primary focus will be on developing pipelines and statistical approaches for analysing high-throughput datasets generated from a wide range of NGS platforms, including RNA-seq, smallRNA-seq, ChIP-seq, exome, targeted and whole-genome sequencing. A major aspect of the role will be to apply appropriate statistical methodologies to these analyses and to integrate genomics data with clinical factors. Experience in applying multivariate statistics to biological datasets is a prerequisite, as are excellent communication skills and an ability to work effectively within a highly collaborative environment.
LOCALE
COMPENSATION:
Salary in the range of GBP 30,100 - GBP 49,100 dependent upon experience
HOW TO APPLY
For informal enquiries please contact Dr Crispin Miller, Head of the RNA Biology Group via email: crispin.miller[at]cruk.mancheser.ac.uk or Dr Hui Sun Leong, Head of the Computational Biology Support Team via email: HuiSun.Leong[at]cruk.manchester.ac.uk.
To apply for this position please visit our website: http://www.cruk.manchester.ac.uk
For applicants who are unable to download this information from our website, please contact HR department on 0161 446 3231/3103, email: jobs[at]cruk.manchester.ac.uk to have this information sent by post.
Job Ref: MI/15/57-2
Computational Biology Support Group
DEADLINE
Closing Date: 25th March 2016
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