Research Associate in Global Infectious Disease Analysis

Imperial College London School of Public Health

Job summary

We are looking for two Research Associates to join the team at the MRC Centre for Global Infectious Disease Analysis (MRC GIDA) and Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA). The current COVID-19 pandemic is the greatest threat posed by a respiratory virus since the 1918 H1N1 influenza pandemic. As countries start to roll out mass vaccination programmes, they must balance the parallel lifting of...

Job listing information

  • Reference MED02350
  • Date posted 14 March 2021
  • Closing date 11 April 2021

Key information about the role

  • Location St Mary's Campus (map)
  • Position type Full time, fixed term
  • Salary £40,858 – £44,434 plus benefits
  • Department School of Public Health
  • Category Researcher / Non Clinical Researcher

Job description

Job summary

We are looking for two Research Associates to join the team at the MRC Centre for Global Infectious Disease Analysis (MRC GIDA) and Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA).

The current COVID-19 pandemic is the greatest threat posed by a respiratory virus since the 1918 H1N1 influenza pandemic. As countries start to roll out mass vaccination programmes, they must balance the parallel lifting of non-pharmaceutical interventions carefully to prevent another wave of cases, hospitalisations, and deaths. Availability and equitable allocation of vaccines within and between countries will be critical.

You will work as part of the larger Imperial College COVID-19 Response Team including several Centre PIs. The exact details of the project will be determined by the match of your skillset to project areas of interest. You will benefit from the translational focus of the Centre and the close existing links it has with public health bodies. Further information can be found at https://www.imperial.ac.uk/mrc-global-infectious-disease-analysis

Duties and responsibilities

Potential areas of work include:

  • Real-time modelling of the epidemic in the UK and globally
  • Comparisons of interventions across countries
  • Quantifying the potential impact of vaccine roll out strategies on the COVID-19 pandemic and implications for release of non-pharmaceutical interventions
  • Quantifying the impact of new variants of concern on transmissibility, severity, and the epidemic trajectory
  • Tracking the COVID-19 epidemic globally to provide epidemic trajectories at country level to support WHO and country situational awareness and planning

Essential requirements

    • At Research Associate level: PhD or equivalent in one of the following areas: epidemiology, statistics (including computational statistics and machine learning methods), bioinformatics, mathematics, or a similarly quantitative discipline  
    • At Research Assistant level: Near completion of a PhD (or equivalent) in one of the following areas: epidemiology, statistics (including computational statistics and machine learning methods), bioinformatics, mathematics, or a similarly quantitative discipline
    • Epidemiological analysis – experience in epidemiological analysis of infectious disease data
    • Data collection - experience with systematic literature reviews, data collection, and extraction. Good overview of the existing COVID-19 literature
    • Model development and parameter inference - experience in mathematical modelling and infectious disease transmission dynamics, Bayesian statistical modelling methods and strong R programming language skills

Further information

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.

This post is full time and fixed term until 30 September 2022 and will be based at the St Mary’s Campus, Paddington. Imperial College is supportive of flexible working. The College is happy to discuss the possibility of implementing such arrangements for this post, with suitably qualified people, subject to operational requirements.

Should you have any queries please contact Dr Natsuko Imai - n.imai@imperial.ac.uk.