Research Associate in Spatial Epidemiology
Imperial College London School of Public Health
United Kingdom

Job summary

We are looking for an excellent and quantitatively strong candidate, with a PhD in Biostatistics, Epidemiology or a closely related quantitative discipline to join our multi-disciplinary team. Our project aims to study spatial uncertainty in small area analysis from survey and administrative data, as part of a collaborative project with Emory University and Harvard, funded by the US National Institutes of Health. Demographic data are...

Job listing information

  • Reference MED02427
  • Date posted 22 April 2021
  • Closing date 23 May 2021

Key information about the role

  • Location St Mary's Campus (map)
  • Position type Full time, fixed term
  • Salary £40,858 – £48,340 plus benefits
  • Department School of Public Health
  • Category Researcher / Non Clinical Researcher

Job description

Job summary

We are looking for an excellent and quantitatively strong candidate, with a PhD in Biostatistics, Epidemiology or a closely related quantitative discipline to join our multi-disciplinary team. Our project aims to study spatial uncertainty in small area analysis from survey and administrative data, as part of a collaborative project with Emory University and Harvard, funded by the US National Institutes of Health. Demographic data are intrinsically part of epidemiological studies (including on COVID19), but limited research has been done on the impact of spatial uncertainty at small-area level. The results of this project will be key to the analysis of the next national census in England and Wales, and to plan future censuses in the UK, US and other countries.

Imperial College London provides world-class scholarship, education and research in science, engineering, business and medicine. The School of Public Health at Imperial College London aims to achieve better health in the population through strengthening the public health science base, training the next generation of public health leaders and influencing health policies and programmes around the world. The Department of Epidemiology and Biostatistics, within the School of Public Health, is headed by Professor Paul Elliott. Its research covers a number of themes including environmental epidemiology, biostatistics and population collections. Our work is used to inform health policy and understand key issues affecting society. The UK Small Area Health Statistics Unit (SAHSU) sits within the Department of Epidemiology and Biostatistics. SAHSU’s work includes substantive epidemiological enquiries of environmental health problems and methodological research around data quality and space-time statistical analysis of non-communicable disease.

Duties and responsibilities

You will contribute to develop and apply proposed statistical methodology, including model formulation and statistical programming, and the development of methods to guarantee reproducibility and to facilitate accurate interpretability through novel visualization techniques. More specifically, the aims of this position are to: i) compare proxies of smoking prevalence from different data sources and their suitability for small-area epidemiological studies; ii) use aggregated anonymised primary care data to explore spatial uncertainty in intercensal population estimates; iii) explore optimised data visualization techniques for data with spatial uncertainty.

Essential requirements

You must hold a PhD in Epidemiology, Statistics, Computational Science, Demography or a closely related discipline. You should have experience in handling survey and administrative data as well as of spatio-temporal statistical analysis and modelling and Bayesian modelling. A thorough understanding of epidemiological concepts and statistical methods in the context of small area studies is essential for this role.

Further information

The contract will be offered on a full time and fixed term basis for 12 months.

Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £36,045 - £39,183 per annum.

Should you have any administrative queries, please contact: s.vidal@imperial.ac.uk. For scientific queries, please contact: f.piel@imperial.ac.uk

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level. http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research


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