Research Associate

Imperial College London - Department of Infectious Disease Epidemiology - School of Public Health - Faculty of Medicine

Salary: £36,800 - £44,220 per annum
Campus:  St. Mary’s Paddington

The post-holder will be part of the NIHR Health Protection Research Unit (HPRU) in Modelling Methodology and will be based in the Department of Infectious Disease Epidemiology at Imperial College London, which is host to several world-leading groups in infectious disease epidemiology. The position will be embedded in the ‘Emerging threats’ theme, which has produced a number of new statistical tools for outbreak response through the R Epidemics Consortium (http://www.repidemicsconsortium.org). The purpose of this position is to drive the implementation of these tools, ensure their relevance in outbreak response situations, and facilitate their integration into PHE and other Public Health agencies. This project has two main aims:

  • promoting open knowledge: the post holder will contribute free, ‘open’ online training material for field epidemiologists. These resources may take a variety of forms, including tutorials, lectures, blog posts or even podcasts. The postholder will also work on developing new data analysis modules for PHE's Field Epidemiology Training Programme (FETP), while ensuring relevance for other training programmes such as ECDC's EPIET programme. The possibility of further collaborations with other training programmes run by other institutions (e.g. WHO, MSF) will be explored. Training will also be provided through short courses and workshops organised at Imperial College or in hosting public health institutions.
  • outbreak response deployment: the post holder will also join outbreak response teams deployed by collaborating institutions (e.g. WHO, PHE, MSF) in order to test and adapt our tools to the realities of field epidemiology and maximise their usefulness for informing outbreak response. This will involve a range of activities, including advising and helping with data collection and management, the integration of statistical tools in existing pipelines and workflows, data analysis and modelling, and the generation of situational reports. This will also involve testing and guiding the development of the RECON deployer, a new portable software environment for the analysis of epidemics.

The ideal candidate must hold a PhD, or equivalent, in biostatistics, epidemiology, disease modelling, data science, public health, or bioinformatics; and have substantial experience of data analysis using R and field epidemiology.

This is a full time, fixed term post until 31 March 2019. Ideal starting date is October 2017.

Should you have any queries please contact: Dr Thibaut Jombart – email: t.jombart@imperial.ac.uk 

Closing date: 21 August 2017 (midnight BST)

Imperial Expectations guide the behaviour of all our staff.

Our preferred method of application is online via our website at http://www.imperial.ac.uk/job-applicants (please select “Job Search” then enter the job title or vacancy reference number into “Keywords”). Please complete and upload an application form as directed quoting reference number SM095-17KO.

Alternatively, if you are unable to apply online, please email k.otoole@imperial.ac.uk to request an application form.

Committed to equality and valuing diversity, we are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.

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/

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