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Research Fellow in Statistics

London School of Hygiene & Tropical Medicine·London (ENG)On-siteMid
£45 728 – £51 872 / year
Vox Summary
  • Role Description: Join ICON at LSHTM as a statistician working on developing multiple imputation methods for missing healthcare data to support cancer research and reduce inequalities.
  • Key Requirements: Postgraduate or doctoral degree in medical statistics or relevant field, experience in biostatistics research, programming in R, handling missing data, and using collaborative tools.
  • Conditions and Benefits: Full-time fixed-term role until 31 December 2028, salary £45,728 - £51,872, 30 days annual leave pro rata, discretionary wellbeing days, pension scheme membership, based in London.
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Job description

Department Health Services Research & Policy Salary £45,728 to £51,872 per annum pro rata inclusive Closing Date Monday 24 August 2026 Reference PHP-HSRP-2026-13 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 seek a statistician to join the Inequalities in Cancer Outcome Network (ICON) on an NIHR-funded Better Methods, Better Research (BMBR) project developing the Multiple imputation framework for missing data. This collaboration with University of Warwick, aims to improve multiple imputation methods using complex real-world healthcare data to support research findings and improve understanding of cancer care and patient journeys. The postholder will be based within ICON, a research group providing evidence and developing strategies to reduce inequalities in cancer care and cancer outcomes. The post holder will work with other statisticians and epidemiologists on the research and contribute to the preparation of manuscripts. The successful candidate will have a postgraduate, ideally doctoral degree in medical statistics or a relevant field and proven biostatistics research and methodological development experience. Candidates will need to have significant experience programming statistical methods, preferably in R, as well as experience handling missing data using methods such as multiple imputation. Candidates will ideally have experience of using tools for collaborative and reproducible research (e.g., GitHub, Overleaf), and in simulating complex data. The post is full-time 35 hours per week, 1.0 FTE and fixed term until 31 December 2028. The salary will be on the LSHTM salary scale, Grade 6 in the range £45,728 - £51,872 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 Please quote reference PHP-HSRP-2026-13. 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. 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. #divSocialMedia { padding: 10px 0; overflow: hidden; } #divSocialMedia span { margin-right: 5px; } #divSocialMedia div { display: inline-block; margin: 10px 5px; } #divSocialMedia a { font-size: 1.5rem; font-family: sans-serif; border: 1px solid #888; border-radius: 50%; padding: 8px; } #divSocialMedia i { font-size: 1.5rem; } #divSocialMedia a: focus { outline-offset: 2px; }

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indeed
Posted
Jul 21, 2026 · true date
Last verified
2 hours ago
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65/100
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