Department
Department of Medical Statistics
Salary
45,097 per annum pro rata inclusive
Closing Date
Friday 10 October 2025
Reference
EPH-MS-2025-09
The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world's leading public health universities. 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 are seeking a Research Fellow to work on an MRC funded project developing Bayesian causal inference methods for mediation analysis using Electronic Health Records (EHR) data.
The Research Fellow will design and implement Bayesian methods and software for studying mediation using longitudinal data exhibiting irregularity and informativeness of the visiting process.
The work is motivated by the aim to find mediating mechanisms of cardiovascular disease in people who suffer from eczema. For this purpose the project will use an existing population cohort of over 5 million patients from the CPRD (Clinical Practice Research Datalink), anonymised data from a network of GP practices across the UK.
The post-holder will have a postgraduate degree, ideally a doctoral degree, in a relevant topic and experience developing complex statistical models for real data analysis. Experience analysing large data sets is also essential. Further particulars are included in the.
The post is full-time 35 hours per week, 1.0 FTE and fixed-term until 29 February 2028. The post is funded by the Medical Research Council and is available from 01 November 2025.
The salary will be on the LSHTM salary scale, Grade 6, 45,097 per annum pro rata (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 LSHTM.
Applications should be made on-line . 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 jobs@lshtm.ac.uk. Please quote reference EPH-MS-2025-09
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