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Research Associate in Statistical Genetics (SM188-13) Research Associate in Bioinformatics (SM189-13) Research Associate in Computational Biology (SM229-13) Imperial College London, School of Public Health / Department of Genomics of Common Disease, Salary range: £28,770 – £41,540 per annum Closing date: 23 October 2013 (midnight BST) Applications are invited for Postdoctoral Research Associate positions in Statistical Genetics / Bioinformatics / Computational Biology to join the research group of the Department of Genomics of Common Disease, Imperial College London. These positions represent an exciting opportunity for talented applicants to join a competitive interdisciplinary team working on problems at the forefront of human genomics. The Department of Genomics of Common Disease is a world leader in genomic research of common human diseases. As part of a major expansion of our research activities, in collaboration with the Department of Mathematics, we are reinforcing our computational biology team. The successful candidate will harness statistical and computational approaches to develop and apply integrative genomics methods aimed at the identification of genomic and non-genomic biomarkers, and their interactions, involved in phenotypic variation in humans. They will integrate information from multiple data sources, including genomic sequencing, structural variant, epigenetic and transcriptomic multi-tissue data, and phenome data (quantitative and end-point phenotypes, environmental variables, clinical parameters, NMR and mass-spec metabolomics data), to build their interaction networks and infer the underlying biological pathways. Close interaction with the genomics laboratories within the Department will allow further refinement and validation of the computational models. Current projects aim to disentangle the genomic basis of a wide range of end stage qualitative phenotypes including metabolic diseases, cancer, ageing, and renal diseases, as well as quantitative phenotypes measured in the healthy and diseased population. Our studies include a variety of study designs, including genetic isolates, in which individuals are related to each other through multiple lines of descent. One of the aims of the computational biology team will therefore be to extend novel and available methods to allow data integration in related individuals. These are opportunities for ambitious researchers with a strong academic background in statistical genetics / bioinformatics / computational biology / computer science and an interest in applying their skills to lead the development of novel methods and computational tools for genomic research. Candidates should hold a PhD or equivalent in statistics / bioinformatics / computational biology / computer science and have a good publication track record, be highly motivated individuals, demonstrate excellent communication skills, and have the ability to work both independently and within a multidisciplinary team. The position is full time and fixed term for 2 years and will be based at the Hammersmith Hospital Campus, East Acton. The post-holder will work under the supervision of Dr Mario Falchi and closely with other academic members of the Department of Genomics of Common Disease (including Professor Philippe Froguel, Dr Inga Prokopenko, Dr Toby Andrew) and Dr Leonardo Bottolo from the Department of Mathematics at Imperial College London. For informal enquiries please contact Dr Mario Falchi ([log in to unmask]) or Mrs Pat Murphy ([log in to unmask]). For further particulars, or to make an application, visit: http://www3.imperial.ac.uk/employment You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.