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

Job summary

Tuberculosis (TB) remains a major global health challenge, one of the leading causes of death due to infectious disease worldwide. Recent setbacks in the global TB response, arising from recent disruptions related to COVID-19, have only intensified the challenges being faced by high-TB burden countries. Mathematical modelling of TB transmission plays an important role in strategic planning in these and other settings and continues to inform...

Job listing information

  • Reference MED02265
  • Date posted 3 February 2021
  • Closing date 4 March 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

Tuberculosis (TB) remains a major global health challenge, one of the leading causes of death due to infectious disease worldwide. Recent setbacks in the global TB response, arising from recent disruptions related to COVID-19, have only intensified the challenges being faced by high-TB burden countries. Mathematical modelling of TB transmission plays an important role in strategic planning in these and other settings and continues to inform decisions for the effective allocation of finite resources.

In this context, we have been working closely with National TB Programmes in India and elsewhere, providing modelling and data analysis in support of their TB response. We seek an outstanding candidate to lead model development as part of this engagement.

Duties and responsibilities

The modelling will include support for in-country research questions such as the potential impact and use of new tools against TB, as well as any national strategic planning required. The project will build on a solid foundation of existing collaborative relationships that have been developed in-country over the last few years. As such, the project will provide excellent opportunities for you to develop a strong research track record, at the same time as having impact on decision-making at the programmatic and government levels.

Essential requirements

You should hold a PhD in mathematics, computer science or a similarly quantitative discipline, backed by research experience in mathematical epidemiology and in tuberculosis modelling. You should have knowledge of R / Python / Matlab programming languages.

Further information

The post is full time and fixed term until 03 January 2024 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.

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 queries please contact: nim.pathy@imperial.ac.uk

For technical issues when applying online please email recruitment@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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