Researcher in Medical Statistics/Data Science

at  University of Oxford

We are seeking a highly motivated and skilled post-doctoral data scientist/machine learning expert to join our multidisciplinary research team focused on studying multi-organ health through large-scale population health studies.
This role will offer the person a unique opportunity to work on two of the world’s most comprehensive datasets, UK Biobank and ORFAN, to advance our understanding of multimorbidity, particularly in the context of obesity, cancer, cardiomyopathies, and heart failure.
You will develop and apply advanced machine learning algorithms to analyse these datasets, linking imaging phenotypes (MRI and CT) with clinical, genetic, and environmental data. Key projects include studying the impact of obesity, modifiable risk factors, cancer, coronary heart disease and heart failure on multi-organ health to improve risk stratification and personalised treatment approaches. This research will contribute to novel risk prediction models and provide actionable insights for improving public health interventions and clinical practice.
Informal enquiries may be addressed to Prof. Stefan Neubauer: Stefan.neubauer@cardiov.ox.ac.uk
For more information about working at the Department, see
https://www.rdm.ox.ac.uk/
Only online applications received before midday of 19th November 12:00 noon can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application

Please refer the Job description for details