Oxford Population Health (Nuffield Department of Population Health, University of Oxford), Old Road Campus, Headington, Oxford, OX3 7LF
Position Overview
The Nuffield Department of Population Health and the Nuffield Department of Medicine are seeking to appoint a new Director to the University’s Big Data Institute (BDI). Responsibilities
Work with the BDI’s senior academic team and group leaders to set the research direction of the Institute. Develop agreed and deliver strategic plans which promote and develop the Institute’s academic and scientific themes. Provide inspiring and visionary leadership to sustain the world-class scientific output of the BDI. Develop leading BDI-wide partnerships within the University of Oxford, nationally, and internationally with academic, governmental, and industrial organisations. Qualifications
You will have experience of leading internationally-competitive programmes of work for which you will have obtained substantial external grant funding. It is essential that you have a clear understanding of the impact and opportunities of machine learning and artificial intelligence, and other analytic approaches, in biomedical research. Application Process
Informal discussion about the post is encouraged, and prospective applicants should refer to the job description for the named contacts. You will be required to upload a CV and supporting statement as part of your online application. Only applications received by 12.00 midday on Monday 10 March 2025 can be considered. Click on the link(s) below to view documents.
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The Nuffield Department of Population Health and the Nuffield Department of Medicine are seeking to appoint a new Director to the University’s Big Data Institute (BDI). Responsibilities
Work with the BDI’s senior academic team and group leaders to set the research direction of the Institute. Develop agreed and deliver strategic plans which promote and develop the Institute’s academic and scientific themes. Provide inspiring and visionary leadership to sustain the world-class scientific output of the BDI. Develop leading BDI-wide partnerships within the University of Oxford, nationally, and internationally with academic, governmental, and industrial organisations. Qualifications
You will have experience of leading internationally-competitive programmes of work for which you will have obtained substantial external grant funding. It is essential that you have a clear understanding of the impact and opportunities of machine learning and artificial intelligence, and other analytic approaches, in biomedical research. Application Process
Informal discussion about the post is encouraged, and prospective applicants should refer to the job description for the named contacts. You will be required to upload a CV and supporting statement as part of your online application. Only applications received by 12.00 midday on Monday 10 March 2025 can be considered. Click on the link(s) below to view documents.
#J-18808-Ljbffr
