HDRUK Early Career Research Fellow

Oxford Population Health (Nuffield Department of Population Health) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching.

We are currently seeking a talented and highly motivated postdoctoral researcher in multi-omics and machine learning. The postholder will be a key collaborative link between the Nuffield Department of Population Health, University of Oxford and the Department of Public Health and Primary Care at the University of Cambridge, as part of the Health Data Research UK’s ‘Molecules to Health Records’ Programme. The post will suit an ambitious researcher, who is interested in applying their skills in machine learning, high-dimensional statistics, and multi-omics and data integration.

The primary role of the postholder will work on projects involving the modelling, analysis and interpretation of multi-omics and e-health record data as well as the development of new analytic methodologies which leverage the biobanks at both institutions.

To be considered for the role you will be educated to a relevant PhD/DPhil (or be close to completion) in one of the following subjects: Medical Statistics, Quantitative epidemiology or other relevant subject. You will have demonstrated experience in machine learning or deep learning and strong quantitative analysis skills, using statistical programming packages such as R and programming languages (e.g. C,C++, Java, Python) is essential for this role. Ability to assimilate rapidly new software, scientific, medical and statistical concepts would be desirable.

The post is full time and fixed term for 2 years in the first instance.

The closing date for applications is noon on 17 April 2024.

You will be required to upload a CV and a cover letter as part of your online application. The cover letter should clearly describe how you meet each of the selection criteria listed in the job description.