Researcher in Health Data Science and Infectious Disease Epidemiology

University-of-Oxford; Oxford; Presencial; GBP 39.000 - 48.000; Jornada completa

Descripción de la vacante

University of Oxford's Nuffield Department of Population Health invites applications for a postdoctoral scientist to conduct primary research on health data science and infectious disease epidemiology at the Oxford Population Health/Big Data Institute. The project uses multimodal data from low‑income settings and involves international collaboration.

You will hold or be close to completion of a PhD/DPhil in health data science, manage your own research and contribute to advanced statistical

Formación

• A PhD/DPhil in health data science or closely related field.
• Strong background in statistics and health data analyses.
• Experience applying ML methods to health data is desirable.

Responsabilidades

• Collaborate with group members and Ugandan researchers on research projects.
• Publish research articles in peer‑reviewed journals and present at conferences.
• Contribute to community/public engagement activities.

Conocimientos

Statistical analysis

Machine learning

Research collaboration

Educación

PhD/DPhil in health data science

Descripción del empleo

Researcher in Health Data Science and Infectious Disease Epidemiology

Oxford Population Health (Nuffield Department of Population Health, University of Oxford, Old Road Campus, Headington, Oxford, OX3 7LF

Researcher in Health Data Science and Infectious Disease Epidemiology

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.