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IMPERIAL COLLEGE -- LONDON -- UK RESEARCH ASSOCIATE IN BIOSTATISTICS AND BIOINFORMATICS Salary £22,116-£32,232 inclusive of London Allowance This appointment is for two years in the first instance This is an exciting opportunity for an ambitious post-doc with a PhD in mathematics, statistics, physics or bioinformatics who is looking to develop their career as a biostatistician in the field of genomics. The position is linked to the Wellcome Trust project Biological Atlas of Insulin Resistance (BAIR) coordinated by Professor James Scott and involving an inter-disciplinary team working to develop the understanding of metabolic diseases and in particular the syndrome of insulin resistance (http://www.bair.org.uk). You will work directly with Professor Sylvia Richardson, Head of the Biostatistics Group in the Department of Epidemiology and Public Health, and Dr Natalia Bochkina to implement the statistical analysis of the BAIR microarrays and to develop and apply multivariate statistical tools to integrate gene expression and other types of genomic data (proteomic, metabonomic). You will be associated with the Biostatistics programme of the newly established Mathematical Sciences Institute at Imperial. You will need experience in statistical modelling and use of statistical software, and also computing skills including the ability to program substantial codes. You should have a strong interest in Biology and or Genetics and Genomics and strong interpersonal skills. For further details about the project, contact Sylvia Richardson (020 7594 3336, [log in to unmask]), Natalia Bochkina (020 7594 3325, [log in to unmask]) or James Scott (020 7594 3647, [log in to unmask]). To obtain an application form and further details go to: http://www.imperial.ac.uk/employment/index.htm Alternatively write to: Recruitment Assistant, Human Resources Division, Medical School Building, Imperial College London, St Mary's campus, London W2 1PG, quoting reference: 2004/MJ0567. Closing date: Friday, 4 December 2004 Valuing diversity and committed to equality of opportunity.