Nuffield Department of Population Health, Old Road Campus, Headington, Oxford
Grade 7: £39,424 - £47,779 per annum (including Oxford University weighting)
This is an exciting opportunity for a postdoctoral scientist to conduct primary research with multimodal data from a low-income setting. You will be a member of an international partnership that is employing cutting-edge big data methodologies for the study of a disease of poverty. The candidate will join the Big Data Institute and Nuffield Department of Population Health, both of which are home to world-renowned research groups applying quantitative methods to key global health issues. For this post, we are looking to appoint a highly motivated scientist to conduct research on doppler and transient elastrography readings from point-of-care ultrasound to build morbidity models for intestinal schistosomiasis.
Your responsibilities and duties will include to support and collaborate with other group/project members and Ugandan researchers. You will publish research articles for leading peer-reviewed journals and present papers at flagship conferences or meetings, as well as participate in community/public engagement activities.
You will hold or be close to completion of a PhD/DPhil in health data science. You will have demonstrated the ability to manage your own academic research and associated activities. A strong track record of advanced statistical skills and machine learning with health data is required.
Applications for this vacancy are to be made online and require a supporting statement and CV. The supporting statement must address the selection criteria for the post using examples of your skills and experience.
Further particulars, including details of how to apply, can be obtained from the document below.
Applications for this vacancy should be made online and you will be required to upload a CV and supporting statement as part of your application.
Only applications received by 12.00 midday on 29th October will be considered.