Chancellor's Fellowships in Data-Driven Innovation (Health and Social Care)

The University of Edinburgh

SALARY SCALE £39,992- £47,722 (for Grade 8 appointments). Exceptionally, an appointment at Grade 9 (£50,618- £56,950) or even Grade 10 (starting from £58,655)

The University of Edinburgh is a world-leading research institution, ranked in the global top 30 in QS, THES and US News Rankings and 4th in the UK for research power (Research Excellence Framework 2014). For more than four centuries, our staff and students have made history. They have invented new disciplines such as geology, the study of literature and epigenetics, explored space, revolutionised surgery, won 23 Nobel Prizes, published era-defining books, developed life-saving medical breakthroughs and laid the foundations for solving the mysteries of the universe.

Building on the outstanding successes of our previous tenure-track Chancellor’s Fellowship programmes and our world class research performance, the College of Medicine and Veterinary Medicine are investing in a further cohort of next generation research innovation leaders of the highest quality who use data science within their work. We have a particular interest in Population Health, Informatics, Regenerative Medicine, Cancer, Neuroscience, Reproductive Health, Cardiovascular Disease, Genetics and Genomics, Inflammation and Clinical Trials. We would particularly welcome individuals with the following areas of research:

  • The interface between data science and health
  • Interrogation of large data sets to predict health outcomes in UK and global populations
  • Use of large data sets to predict treatment strategies and to intervene therapeutically
  • Medical image big data computational analysis - How best to individualise advanced medical imaging-derived biomarker detection for precision medicine uses
  • Using natural language processing to interrogate reports from medical imaging and pathology for large scale epidemiology, health-care quality improvement and randomised trials
  • Linking transcriptomics (single cell) / human pathology and clinical phenotyping for (i) data driven discovery or (ii) medication compliance, action and treatment response
  • Delivering 21st century multi-arm community based clinical trials through exploiting administrative and dynamic health data capture

You will already have established a reputation for the high quality of your data-driven research and innovation. You will have a commitment to develop your skills in on-line teaching at scale at a University level. Colleagues with translational-industrial, public and third sector linkages, international academics and those interested in interdisciplinary collaboration are particularly welcomed.

You will initially concentrate on world class research and innovation working closely with the private, public and third sector in a data-enabled theme, with a focus on delivering high impact results. We will provide you with a generous start-up package and training in contemporary on-line and blended education and industry engagement skills. You will be expected to progressively take up more of these core academic activities over time. It is anticipated that following a successful end of year 3 review the majority of Chancellors Fellows will transition to an open-ended post at an appropriate grade.

The culture of the University is open and diverse and we strive to replicate that in our appointments. We are the proud holder of a prestigious Athena SWAN Silver Institution Award recognising our work in supporting the advancement of gender equality in academia. As women and members of ethnic minorities are currently under-represented in posts at this level we particularly encourage applications from members of these groups. We are committed to support individuals looking to return to research after a career break for family, caring or health reasons. Relocation support and Immigration Fee Assistance is available, including practical support for a spouse/partner and families.

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