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TB Modelling Research Fellow or Research Assistant

We are looking for an enthusiastic and highly motivated infectious disease modeller to join the LIGHT Consortium and the world-leading TB Modelling Group, TB Centre, and Centre for the Mathematical Modelling of Infectious Diseases at the London School of Hygiene & Tropical Medicine (LSHTM).

Globally, an estimated 10 million people fell ill with TB in 2018 and 1.5 million died from this communicable disease. Seven million people were diagnosed and treated for TB whilst an estimated three million people were missed and did not receive the care they needed. Gender intersects with poverty and other social determinants of health to increase vulnerability to TB and HIV.

LIGHT (Leaving no-one behInd: transforming gendered Pathways to Health for TB) is a six-year cross-disciplinary global health research programme funded by UK aid, led by the Liverpool School of Tropical Medicine (LSTM) working with partners in Kenya, Malawi, Nigeria, Uganda and the UK. LIGHT aims to support policy and practice in transforming gendered pathways to health for those with TB in urban, HIV-prevalent settings to improve health, socio-economic and equity outcomes and to stop the spread of TB.

The successful applicant will work on and, depending on level of post, lead a range of exciting quantitative and modelling analyses on gender disparities in TB burden and care across LIGHT partner countries. Projects will include an intersectional analysis of prevalence survey data, the generation of sub-national TB burden estimates, and the development and calibration of gendered TB transmission models.

The successful applicant will be supervised by Katherine Horton and will join an exciting and innovative cross-country research consortium led by LSTM, as well as a highly successful and supportive TB Modelling Group in London. There is considerable scope to take initiative for research within the field, in collaboration with colleagues within LIGHT and at LSHTM. The project will involve a range of complex and original scientific research that requires a high degree of personal motivation.

Depending on level of post, the successful applicant will have a postgraduate or doctoral degree in Epidemiology, Public Health, Modelling, Statistics or another relevant discipline with a strong quantitative component, experience of infectious disease modelling and of programming languages (e.g., R, Python, C++), and an appropriate record of publication. Experience in infectious disease or quantitative TB research would be an advantage. Further particulars are included in the job description.

This post is full time and funded until 31 October 2022.

Applicants are welcome to contact Katherine Horton ( for an informal discussion prior to submitting a formal application.

United Kingdom
Closing date
February 24th, 2021
Posted on
February 14th, 2021 20:22
Last updated
February 14th, 2021 20:22