We are looking for three enthusiastic and highly motivated Research Assistants or Research Fellows to join the world-leading tuberculosis (TB) Modelling group (http://tbmodelling.lshtm.ac.uk). The successful candidates will contribute to projects within the group, including manipulation of TB mathematical models in R to examine the optimal combination of TB interventions across multiple countries, the effect of subclinical TB on the potential impact of TB vaccines, or explore the impact of asymptomatic COVID-19 testing in care homes.

The post-holders will have a relevant first degree in the field of Epidemiology (or similar degree with quantitative, public health or biomedical focus) at Research Assistant level or postgraduate degree, ideally a doctoral degree, in a relevant topic at Research Fellow level. Some experience with mathematical modelling of infectious diseases and relevant analytical skills in public health are essential at Research Assistant level. Relevant experience in mathematical modelling of infectious diseases and strong knowledge of a programming language (e.g., R, Python) are essential at Research Fellow level. Further particulars are included in the job description (see https://jobs.lshtm.ac.uk/vacancy.aspx?ref=EPH-EPED-2023-12).

If you would like further information regarding the roles please contact Prof Rein Houben (Rein.Houben@lshtm.ac.uk), Prof Richard White (Richard.White@lshtm.ac.uk) or Dr Lara Gosce (Lara.Gosce@lshtm.ac.uk).