We seek to recruit a full-time postdoctoral Research Associate in Microbial genomics and Bioinformatics to work in the laboratory of Dr. Lauren Cowley on an Academy of Medical Sciences springboard scheme funded grant in collaboration with the Gastrointestinal Bacterial reference services at Public Health England (PHE). You will be working on novel machine learning models to predict geographical source attribution from sequencing data of Shiga-toxigenic Escherichia coli and Salmonella. You will be responsible for training, testing and development of prediction models on PHE provided sequencing data to help research the possibilities of using sequencing data to provide automatic prediction of where foodborne disease has originated from; either as a returning traveller, imported food or domestic case. The position is funded at £39,152 and we expect to appoint at this starting salary for a fixed-term period of 15 months. You should hold or be close to completing a PhD in microbiology, genomics, bioinformatics, computer science, applied mathematics or computational biology, with some experience in the development of machine learning prediction models and processing of large microbial sequencing datasets.