Research Fellow
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 to recruit a Research Fellow to work on an exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics, which has particular strengths in developing new statistical methodology, including methods for missing data and causal inference. The role will involve application and development of statistical theory, conducting simulation studies, analysis of datasets from economic and social research studies, software implementation and delivery of workshops. The Research Fellow will be supervised by Prof. Jonathan Bartlett, together with collaborators from UCL’s Centre for Longitudinal Studies (Prof. Richard Silverwood) and University of Cambridge’s MRC Biostatistics Unit (Dr. Shaun Seaman).
Applicants should have a postgraduate degree, ideally a PhD, in statistics, machine learning, or a related field. Experience of developing new statistical methods and a strong working knowledge of a statistical software package, such as R or Stata, are essential. Further particulars are included in the job description.
The post is full-time, 1.0 FTE and fixed-term until 30 June 2029. The post is funded by the Economic and Social Research Council, and is available from 01 December 2025. Interviews are expected to take place in the week beginning 13 October 2025.
The salary will be on the LSHTM salary scale, Grade 6 in the range £45,097 - £51,156 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 LSHTM.
Applications should be made by clicking the 'Apply' button above. 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-2025-10.
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