The London School of Hygiene & Tropical Medicine is a world-leading centre for research and postgraduate education in public and global health. 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 appoint a data scientist Research Fellow with an interest in infectious diseases to explore the trends in antibiotic resistance prevalence in infection by age. The postholder will develop statistical models to analyse large individual patient level datasets exploring the correlation between drivers to antibiotic resistance, such as antibiotic usage in primary and secondary care, and trends by age. They will work with Dr Gwen Knight on a 5yr Medical Research Council-funded project, joining a group of AMR researchers with the opportunity to explore other questions on AMR dynamics. At the end of this post, it is anticipated that supported career development and opportunities for growth would allow the post holder to be able to apply for independent fellowships.

The successful applicant will have a strong quantitative background with qualifications and experience in data science, statistics, mathematical modelling, epidemiology, bioinformatics or another relevant discipline with a strong quantitative component. Candidates should have experience of data analysis of large complex datasets – ideally electronic health records exploring infectious diseases. This is a great opportunity for those seeking to explore large data to answer important policy questions as well to gain skills in mathematical modelling. The postholder will be based at LSHTM and responsible to Dr Knight but will work closely with researchers at the UK Health Security Agency on the Unified Infection Database with an honorary contract. Further particulars are included in the job description.

The post is full-time and fixed term until 31/08/2025, with the potential for extension. The post is funded by the MRC and is available from 01/09/2022. The salary will be on the Academic Pathway salary scale Grade 6 in the range £40,611-£46,119 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. Hybrid working would be supported.

We encourage applications from individuals under-represented in data sciences such as women and those from minority ethnic backgrounds.