We are seeking a data scientist to work on a series of projects in crisis-affected countries. The two main projects are funded by grants from UNICEF and WHO, with the aim of developing methodologies to estimate and monitor mortality due to famine in the Horn of Africa region, working with researchers in the region, especially Somalia, and mathematical modellers at LSHTM. The work will involve automating counting of graves from satellite imagery, establishing data pipelines, mathematical modelling and using big data for mortality estimation. The role may involve travel to crisis-affected settings including Somalia. This is an exciting opportunity to become part of a team that work in complex settings developing novel data science methodologies. There will be scope to develop further research ideas and to take the lead in this expanding and challenging area of research.