Sarah White completed her PhD at the University of Nottingham and gained experience in clinical trials in the pharmaceutical industry. She then spent two decades living in Africa working in biomedical statistics. This provided valuable opportunities to broaden her understanding of cultural and logistic contexts in which biomedical research in some low- and middle-income countries is conducted. Her roles included teaching (statistics and biomedical students) at both undergraduate and postgraduate level, being a clinical trial statistician, supporting a Master of Public Health programme, managing data management staff, and serving on a research ethics committee. Sarah joined the Department of International Public Health at Liverpool School of Tropical Medicine (LSTM) to focus on supporting research in maternal and newborn health, an area that was particularly prominent in her work in Africa. Within LSTM she has also worked in several multinational teams based in Africa. Sarah peer reviews publications for several journals. 

Sarah has designed and analysed data for several randomised controlled clinical trials, including trials which involve randomisation of clusters to study arms or steps. She developed a novel multi-dimensional stepped wedge design to assess the impact of conducting standards based audits. Sarah primarily uses stata software for analysis, but also supports the use of SPSS, and is developing her skills in use of the R environment.