Jobs at LSHTM | Public Health and Policy

Research Fellow (0.5 FTE) (PHP-PHES-2026-10)

Thu, 13 Aug 2026 00:00:00 GMT

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 the HCV combination prevention project in people who inject drugs and prisoners (HepC3P). The HepC3P project will generate evidence on innovative interventions including long acting depot buprenorphine (an opioid agonist therapy) and low-dead space syringes to prevent hepatitis C. Travel to project sites including Ukraine, Nigeria, Vietnam, South Africa and India will be necessary. The consortium is led by Path with Population Services International (PSI), LSHTM and the University of Bristol.

You will support the evaluation by providing epidemiological support, including rapid analysis of ongoing data collection, lead the statistical analysis of pooled cohort data across sites, and build capacity through technical support and delivery of training to project partners.

The post-holder must have a postgraduate degree, ideally a doctoral degree, in a relevant topic, evidence of good organizational skills, including effective time management, and experience and demonstrated expertise in quantitative or survey research experience involving primary data collection or analyses of existing datasets (e.g. health service records or programmatic data). Further particulars are included in the job description.

The post is part-time 17.5 hours per week, 0.5 FTE and fixed term until 30 September 2027. The post is funded by the UNITAID and is available from 01 October 2026.

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 via our jobs website. 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 PHP-PHES-2026-10.

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.

Closing Date: 07 Sep 2026

Department: Academic

Salary: £45,728 to £51,872 per annum pro rata inclusive

Research Fellow in Data Science, Statistics or Epidemiology x2 (0.5 - 1.0 FTE) (PHP-HSRP-2026-15)

Tue, 11 Aug 2026 00:00:00 GMT

We are looking for Research Fellow(s) for the two posts available in the DELTA core function of the NIHR Maternity Disparities Consortium, a £50million national programme that aims to improve maternity and neonatal outcomes across the UK and reduce inequalities before, during and after pregnancy.

The Research Fellow(s) will be involved in analysing routinely collected linked national datasets for all mothers and babies in England. The posts will provide an excellent opportunity for someone who wants a career in “big data” research.

The role requires strong skills and expertise in data science, statistics, or epidemiology. The successful candidate will have a postgraduate, ideally doctoral degree in one of these areas. Experience of working on large observational healthcare studies is helpful, but the job also suits someone with experience of analysing clinical trials.

For more information about the role, please contact Ipek Gurol Urganci (ipek.gurol@lshtm.ac.uk) or Jan van der Meulen (jan.vandermeulen@lshtm.ac.uk).

Both posts are based at the Department of Health Services Research & Policy and are available full-time or part-time, 17.5 - 35 hours per week, 0.5 - 1.0 FTE and fixed term until 31 May 2028. The posts are funded by the NIHR, one post is available immediately and one post is available from 01 September 2026.

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: 27 Aug 2026

Department: Academic

Salary: £45,728 to £51,872 per annum pro rata inclusive

Project Coordinator - Maternity Cover (PHP-GHD-2026-08)

Fri, 07 Aug 2026 00:00:00 GMT

The post-holder will have overall administrative management and financial responsibility for the projects at LSHTM: Building resilience to floods and heat in the maternal and child health system in Brazil and Zambia (REACH) project and Shaping health packages and researching priorities ( SHARP).

We are seeking a highly skilled project coordinator, to support the Principal Investigator (PI) and project co-leads, together with partner organisations across seven countries, with high-level project coordination and financial issues. Applicants must possess substantial experience of providing proactive administrative support of academic / global health research and of managing large complex grants with multiple partners across multiple countries. Applicants must have higher education to degree level or equivalent or substantial relevant experience, and ideally have certified training in high-level project coordination/management.

The post is full-time 35 hours per week, 1.0 FTE and fixed term until 31 August 2027. The post is funded by the NIHR and is available from 21 September 2026. The position may be offered as a secondment for existing LSHTM staff. In this case, line manager approval confirming that you can be released from your current duties will be required before the appointment can be confirmed.

The salary will be on the LSHTM salary scale, Grade 5 in the range £39,984 - £45,728 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.

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: 20 Aug 2026

Department: Professional Services

Salary: £39,984 to £45,728 per annum pro rata inclusive

Research Fellow in Statistics (PHP-HSRP-2026-13)

Tue, 21 Jul 2026 00:00:00 GMT

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.

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: 24 Aug 2026

Department: Academic

Salary: £45,728 to £51,872 per annum pro rata inclusive