Job Description:
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, bioinformatics, 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. The RNA Biology Group is interested in how expression patterns are modulated in tumour cells. It has a particular focus on the roles played by noncoding RNAs in regulating gene expression. The group is highly interdisciplinary, and combines computing, computational biology and bench science in an integrated and collaborative research programme. RESPONSIBILITIES: A position is now available for a highly motivated postdoctoral research scientist to develop computational models of gene expression across populations of cells, and to ask how they change in tumours. The goal is to identify novel regulatory noncoding RNA molecules that are disrupted in cancer. These will then be further characterised. The successful applicant will use data from deep sequencing and quantitative protein mass spectrometry to identify novel candidate RNAs, and will work extensively with single cell genomics data generated in collaboration with the Clinical and Experimental Pharmacology Group, led by Professor Caroline Dive. Familiarity with R programming and Bioconductor will convey a significant advantage, as will substantial experience working with SQL and relational databases. They will have access to state of the art High Performance Computing Facility on site, and will also benefit from existing tools and pipelines for the analysis, pre-processing and alignment of deep sequencing data. The post is an exciting opportunity for an ambitious researcher who wants to work at the interface between advanced computation, genomics and bench science. REQUIREMENTS: The successful applicant should have a PhD in computer science or related numerical discipline with extensive experience writing complex code. Experience of working in cancer biology research is not essential but would be an advantage. COMPENSATION: Salary in the range of GBP 28,500 - GBP 38,000 (dependent upon qualifications and experience) TERMS: 3 year position HOW TO APPLY: To apply for this position please visit our website: http://www.cruk.manchester.ac.uk Job Ref: MI/14/34-2 For applicants who are unable to download this information from our website, please contact HR department on 0161 446 3231, email: jobs[at]cruk.manchester.ac.uk to have this information sent by post. Informal enquiries should be directed to Crispin Miller via email: crispin.miller[at]cruk.manchester.ac.uk DEADLINE: Closing date: 5 November 2014
Additional Info:
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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, bioinformatics, 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. The RNA Biology Group is interested in how expression patterns are modulated in tumour cells. It has a particular focus on the roles played by noncoding RNAs in regulating gene expression. The group is highly interdisciplinary, and combines computing, computational biology and bench science in an integrated and collaborative research programme. RESPONSIBILITIES: A position is now available for a highly motivated postdoctoral research scientist to develop computational models of gene expression across populations of cells, and to ask how they change in tumours. The goal is to identify novel regulatory noncoding RNA molecules that are disrupted in cancer. These will then be further characterised. The successful applicant will use data from deep sequencing and quantitative protein mass spectrometry to identify novel candidate RNAs, and will work extensively with single cell genomics data generated in collaboration with the Clinical and Experimental Pharmacology Group, led by Professor Caroline Dive. Familiarity with R programming and Bioconductor will convey a significant advantage, as will substantial experience working with SQL and relational databases. They will have access to state of the art High Performance Computing Facility on site, and will also benefit from existing tools and pipelines for the analysis, pre-processing and alignment of deep sequencing data. The post is an exciting opportunity for an ambitious researcher who wants to work at the interface between advanced computation, genomics and bench science. REQUIREMENTS: The successful applicant should have a PhD in computer science or related numerical discipline with extensive experience writing complex code. Experience of working in cancer biology research is not essential but would be an advantage. COMPENSATION: Salary in the range of GBP 28,500 - GBP 38,000 (dependent upon qualifications and experience) TERMS: 3 year position HOW TO APPLY: To apply for this position please visit our website: http://www.cruk.manchester.ac.uk Job Ref: MI/14/34-2 For applicants who are unable to download this information from our website, please contact HR department on 0161 446 3231, email: jobs[at]cruk.manchester.ac.uk to have this information sent by post. Informal enquiries should be directed to Crispin Miller via email: crispin.miller[at]cruk.manchester.ac.uk DEADLINE: Closing date: 5 November 2014
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[Click Here to Access the Original Job Post]