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Postdoc Position in Computational Epidemiology at Imperial College London

Imperial College London, UK is inviting excellent candidates to apply for a postdoctoral fellowship position in public health. This position is available for 24 months. Applications should be sent before March 06, 2019.

Imperial College of Science, Technology and Medicine is one of the leading scientific universities in the world. Imperial's School of Public Health (ISPH) is an organizational leader in public health research, as evidenced by the 2014 Research Excellence Framework. ISPH hosts two Medical Research Centres including the MRC-PHE Centre for Environment and Health. The project support work will be conducted in the Department of Epidemiology and Biostatistics at the School of Public Health which has a long and rich tradition of conducting research work of the highest calibre. The MRC-PHE Centre for Environment and Health brings together scientists from ICL and King's College and is a world leader in the fields of exposure assessment, large scale epidemiological studies, and molecular epidemiology.

This is an exciting opportunity for an experienced Epidemiologist to join the School of Public Health, Department of Epidemiology and Biostatistics, Imperial College, and work on a recently funded project by the COLT Foundation (PI: Professor Paolo Vineis at the School of Public Health). We propose to peruse a large database of population studies to investigate a problem that has attracted little research so far, the impact of the "gig" economy on health. By "gig economy" we mean unstable jobs - mainly in the tertiary sector - that are associated with low pay, zero-hour contracts, little or no rights (such as maternity leave), heavy psychological burden and disruption of circadian rhythms/biological clocks. Overall, we have a complete set of variables (including detailed occupational histories, harmonized socio-economic position, gender, age, BMI, physical activity, diet, smoking, alcohol) for 520,000 individuals (including almost 300,000 women) from 7 European countries. In addition, we have molecular biomarkers for >35,000 subjects belonging to these populations. The appointee will focus on the development of scalable and robust statistical toolkits enabling the in-depth analysis of high throughput data in relation to the impacts of the gig economy. This comprises the identification and implementation of computationally optimised models to screen, in various OMICs profiles (inflammatory markers, methylation, metabolomics, and gene expression data) and clinical parameters, for markers of physiological strain and 'accelerated biological ageing'.

The post-holder will also contribute to the development of novel approaches to include both a causal component (e.g. generalised structural equation models) and dynamic features to established profiling techniques to explore the job-associated mechanisms driving the life-course individual risk profiles. The successful candidate must have PhD or equivalent in Epidemiology or Biostatistics or Mathematics; experience in conducting statistical analyses in observational studies with omics data; and as well as familiarity with omics data analyses, including pre-processing algorithms, development of ad-hoc models accounting for technically-induced variation (e.g. laboratory artefacts)

This position is a full-time, fixed term contract for 24 months and attracts a salary range of 37,904 – 45,547 per annum per annum depending on experience.

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