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The Board of Electors to The Professorship of Data Science and Healthcare Improvement invites applications for this major academic leadership role tenured to the retiring age.

Based in The Healthcare Improvement Studies Institute (THIS Institute) within the Department of Public Health and Primary Care, you will make significant contributions to the intellectual development of the discipline of healthcare improvement studies and lead programmes of research of national and international importance. You will form collaborations with academic and clinical partners and with world-leading centres in health data science at Cambridge and beyond, and secure funding and publish research of internationally excellent quality that results in real-world impact.

You will be a world-class academic with a distinguished track-record in the field of data science applied to healthcare improvement. You will have an outstanding record in research leadership and in teaching, training and capacity-building, and a proven ability to work collaboratively across organisations, disciplines and sectors and to communicate effectively with NHS partners and stakeholders. With an established background in a relevant area such as statistics, epidemiology, machine learning, or health informatics you will understand the challenges of making change in complex socio-technical systems and will have significant expertise in the use of routinely collected healthcare data to support actionable improvement in healthcare.

You will provide leadership for education and training in the Department and the School of Clinical Medicine more broadly. And, as a senior academic leader in the Department, you will demonstrate superb organisational citizenship.

If appointed, you will be an independent University-employed academic, responsible to the Director of THIS Institute and to the Head of the Department of Public Health and Primary Care.

You will be based in Cambridge. A competitive salary will be offered.

How to apply

Further information, including a detailed role description and person specification, and details on how to apply can be downloaded at https://candidates.perrettlaver.com/vacancies/ quoting reference number 6605.

For an informal and confidential discussion about the role, please contact Urvashi Ramphul on +44(0)20 7340 6280 or via email at urvashi.ramphul@perrettlaver.com.

The closing date for applications is Monday 10th July 2023 at 09:00 BST.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

For a conversation in confidence, please contact Urvashi Ramphul on +44(0)20 7340 6280 or via email at urvashi.ramphul@perrettlaver.com.Should you require access to these documents in alternative formats, please contact Esther Elbro on Esther.Elbro@perrettlaver.com.If you have comments that would support us to improve access to documentation, or our application processes more generally, please do not hesitate to contact us via accessibility@perrettlaver.com

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Professorship of Data Science and Healthcare Improvement job with ... - Times Higher Education