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.
The post-holder will work in the recently established Mortality and Inequalities Research Group and work closely with Associate Professor José Manuel Aburto and the Population Studies Group at LSHTM. The post-holder’s primary role will be to provide support for computational research projects and data infrastructure carried out in the research group.
The post-holder will be able to develop research questions within Statistics, Population Data Science, Computational Social Science, Demographic Science or a related field. Candidates should be able to analyse detailed and complex qualitative and/or quantitative data from a variety of sources and generate original ideas by building on existing concepts. The post-holder will aid with the design, development, and maintenance of the research group’s computing infrastructure for data and code, establishing and documenting workflows for open science, and online dashboards.
The post-holder will have a postgraduate degree, ideally a doctoral degree, in demography, statistics, epidemiology or a relevant topic and proven experience of strong programming skills in R, Python, or other open-source programming language. Further particulars are included in the job description.
The post is full-time, 1.0 FTE and fixed-term for 3 years. The post is funded by a Wellcome Career Development Award and is available from 01 September 2025 (there is flexibility in the start date).
Please contact José Manuel Aburto (jose.aburto@lshtm.ac.uk) to informally discuss the post.
The salary will be on the Academic Pathway scale, Grade 6 in the range £45,097-£51,156 per annum (inclusive of London Weighting). The post will be subject to 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.
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.