Associate Professor or Professor in Medical Statistics (EPH-MS-2021-10)

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Job description

In a major strategic expansion, the London School of Hygiene & Tropical Medicine are seeking to appoint up to three Associate Professors or Professors to contribute to substantive projects related to global public health. Working with existing staff, and in collaboration with potential overseas partnerships, the postholder(s) will bring expertise and experience in the application of cutting-edge statistics to one of the following areas:

  • Climate change: quantifying the health impacts of climate events and associated health inequities, assessing determinants of the health impact of climate change and appropriate mitigation and adaptation measures at both the individual and population level. 
  • Infectious disease analysis: real-time analysis and prediction of infectious diseases, including outbreaks; in all cases developing novel statistical and computational tools to address questions of interest. 
  • Statistical/Health data science methodology: developing new methods or applying state-of-the-art techniques, motivated by pressing public health needs in chronic non-communicable diseases. 

Candidates may apply for one or more of these posts. The ideal candidate(s) will have expertise in biostatistics including causal methods, and/or data science techniques and programming.  People with experience in working with large and high dimensional datasets are particularly encouraged to apply. 

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 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. As well as establishing new studies, there will be the opportunity to analyse data and collaborate on publications from related ongoing studies at LSHTM, including work in the Centre on Climate Change and Planetary Health and the Centre for Statistical Methodology, as well as other relevant disease-specific Centres. 

A successful candidate will be expected to work across several departments at the London School of Hygiene and Tropical Medicine, and to teach on the MSc programmes in either Epidemiology, Control of Infectious Diseases, Health Data Science and/or Medical Statistics, as appropriate. The primary focus of these roles will be to provide academic leadership, to conduct and publish research of the highest quality and educate students to a high academic standard and as a result improve the academic standing and sustainability of the School. 

The successful candidate will have a doctoral degree in Mathematics, Statistics, Statistical Epidemiology or Health data science or a related field. Expertise in medical statistics, statistical epidemiology or data science is essential. Further particulars are included in the job description.

Candidates are encouraged to contact Professor Linda Sharples ( for informal discussion about this post. 

Posts at the Associate Professor level will be fixed term until 31 December 2025 (after 4 years they will be reviewed with a view to being made without duration) and at the Professor level will be without duration. All posts are expected to be full-time. 

The salary will be on the Academic scale, Associate Professor Grade 8 to Professor, in the range £57,320 - £70,741 per annum (inclusive of London Weighting). 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 “Wellbeing Days”. Membership of the Pension Scheme is available. The post is based in London at the London School of Hygiene & Tropical Medicine.

Applications should be made on-line via our website at Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be addressed to

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. 

Interviews are likely to be held in January 2022, and may be held virtually. Please note that if you are shortlisted and are unable to attend on the interview date it may not be possible to offer you an alternative date.

Closing Date: 10 Jan 2022
Category: Academic

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