The Professorship of Data Science and Healthcare - Cambridge, United Kingdom - Perrett Laver

Perrett Laver

Verified Company

Cambridge, United Kingdom

2 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

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

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