Applications are invited for the position of Senior Research Associate to join “GEM” (Generalized Epidemic Modelling), an exciting new project within Lancaster University's Data Science Institute, which is developing a domain-specific modelling language implementing statistical analysis and forecasting for disease outbreaks. It aims to provide a software environment for rapid development of real-time epidemic models, with cutting-edge Bayesian statistical implementations to improve the speed at which the epidemiological community can respond to new outbreak threats. We are seeking an individual with a high level of Python and/or C++ programming skills, with a solid commitment to delivering high-quality open source scientific software.