Deputy Director post for Turing Health Programme Announced

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The Alan Turing Institute are seeking a Deputy Director (40%FTE) to help develop and deliver the health programme strategy.

The Deputy Director will report to the Director of the Health Programme and will join the Research and Innovation Advisory Committee for the Institute, ensuring a strong connection between the Institute’s research programmes/projects and the overall AI and data science research strategy of the Institute. The Deputy Director will also liaise closely with HDR UK, the Institute research and operations staff, as well as Institute’s university researchers and industry, government and third sector partners of the Institute.

THE ROLE

You will be working alongside the Programme Director for Health, Professor Chris Holmes, in helping to shape the strategy and implementation of the Turing’s Health Programme, as well as providing research leadership. This will include close working across the Alan Turing Institute and Health Data Research UK, which provides a unique opportunity to join-up national health data science initiatives, to address the big health issues facing the UK. 

This is a stand-out opportunity to join a prestigious, national research institute and shape its agenda at an important and exciting time in its development.

The role is ideally suited to candidates who are leading researchers in AI and data science with an outstanding track record in collaborative research across data science related disciplines (AI, mathematical sciences, statistics, computing sciences and/or social sciences) and with deep interests in data-driven methods and/or approaches for tackling real-world problems in health using data science and AI methods and tools.  It offers the opportunity to shape the Institute’s research, training, translation and knowledge exchange priorities and establish new programmes of work in the health domain. Areas of particular interest include, but are not restricted to:

  • Clinical trials
  • Public health and epidemiology
  • Genomics and other ‘omics data
  • Structured and unstructured data from Electronic Health Records
  • Health Service/NHS systems

To find out more and apply for this role, please click Here.

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