Research Fellow – Modeller 102 views

The London School of Hygiene & Tropical Medicine is a world-leading centre for research and postgraduate education in public and global health. Our mission is to is to improve health and health equity in the UK and worldwide; working in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice.  

The project, “Determining the importance of different locations to Mycobacterium tuberculosis transmission in high tuberculosis burden settings”, is seeking to recruit a Research Fellow. The post will be based in the Department of Infectious Disease Epidemiology in LSHTM’s Keppel Street building in London. The post-holder will be accountable to the Head of Department through Dr. Nicky McCreesh, the project’s Principal Investigator. 

The successful candidate will develop and analyse a mathematical model of contact patterns and Mycobacterium tuberculosis transmission in adults and children. Force of infection (FOI in children is (relatively) easy to measure, and so is often used as a proxy for overall disease incidence. The relationship between the two variables is not clear however, and will vary with contact patterns between adults and children, and the amount of disease that is due to reactivation. The successful candidate will examine the relationship between FOI in children and the incidence of TB disease in the general population. This will lead to a better understanding of the relationship between the two variables, and under what circumstances FOI in children should and should not be used as a proxy for disease incidence. This work will feed into ongoing discussions about the utility of latent LTBI surveys with WHO.

For the post-holder to be able to perform the job effectively, they will be required to have a Master’s degree in a quantitative discipline such as mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience; experience in constructing and analysing mathematical of epidemiological, biological or other systems, as well as Proficient knowledge of a programming language for mathematical modelling such as R, Python, or C/C++. Having a PhD in a quantitative discipline such as mathematics, physics, statistics, bioinformatics or computational biology is also desirable. 

The post is full-time and funded until 30 November 2019 with the possibility of extension to 31 January 2020. The salary will be Grade 6 on the Academic scale in the range of £39,304 – £44,634 per annum (inclusive). The post will be subject to the LSHTM terms and conditions of service.  Annual leave entitlement is 30 working days per year, pro rata for part time staff. In addition to this there are discretionary “Director’s Days”. Membership of the Pension Scheme is available. 

Applications should be made on-line via our website Applications should include the names and email contacts of 2 referees who can be contacted immediately if shortlisted. Queries regarding the application process may be addressed to Christina Spencer – . 

The supporting statement section should set out how your qualifications, experience and training meet each of the selection criteria. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as “Please see attached CV” will not be considered acceptable.

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