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Research Fellow or Assistant Professor

Department of Medical Statistics

Salary:  £40,611 to £54,267 per annum, inclusive.
Closing Date:  Friday 26 August 2022
Interview Date:  Wednesday 07 September 2022
Reference:  EPH-MS-2022-08

The London School of Hygiene & Tropical Medicine is a world-leading centre for public and 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. 

We have an exciting opportunity for a statistician to work in the rapidly evolving field of computer intensive methodology for causal inference, and its application to the analysis of large routinely collected health databases. The research involves close collaboration with the Electronic Health Records group and the OpenSAFELY collaborative (led by Ben Goldacre), which recently made fundamental contributions to understanding the COVID-19 epidemic. The successful candidate will develop and apply computationally intensive techniques to adjust for high dimensional confounding, with the goal of substantially improving the reliability of causal inferences from large, routinely collected observational databases. 

The successful candidate will benefit from belonging to a stimulating multidisciplinary team undertaking a wide range of methodological and applied projects. There is also the opportunity to contribute to the MSc programmes in Medical Statistics and/or Health Data Science. 

The post is based in the Department of Medical Statistics, which has a strong track record of mentoring future research leaders. The department is part of the Faculty of Epidemiology and Population Health, which is home to around 400 epidemiologists, demographers, statisticians and nutritionists. This is one of the three faculties comprising the London School of Hygiene & Tropical Medicine - a world-leading centre for public and global health research, ranked first for research impact in the 2022 REF. 

Applicants will need a PhD in biostatistics, or equivalent. The ideal candidate will have an aptitude for methodological research, experience in using propensity scores and be familar with electronic health record data. Further particulars are included in the job description.

The post is full-time and fixed term, ending 31 December 2026. The salary will be on the Academic Pathway salary scale Grade 6 in the range £40,611 - £46,119 for research fellow and £47,405 - £54,267 for assistant professor 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 USS 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 (UK time) on the closing date. Any queries regarding the application process may be addressed to

Intending applicants are strongly encouraged to contact Prof Elizabeth Williamson ( for an informal discussion.

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. 

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.

Further details:    Job Description    
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The London School of Hygiene & Tropical Medicine is committed to being an equal opportunities employer. We believe that when people feel respected and included, they can be more creative, successful, and happier at work. While we have more work to do, we are committed to building an inclusive workplace, a community that everyone feels a part of, which is safe, respectful, supportive and enables all to reach their full potential.



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