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Research Assistant

The University of Edinburgh - CMVM / MGPHS / USHER Institute

Location: Edinburgh
Salary: £32,982 to £38,205 per annum, pro rata
Hours: Part Time
Contract Type: Fixed-Term/Contract
Placed On: 20th September 2024
Closes: 3rd October 2024
Job Ref: 11289

Contract type: Part-time, 14 and 21 hours per week
Fixed Term available from October 2024 to 31st August 2025

The Centre for Medical Informatics at the Usher Institute within The University of Edinburgh is looking for two Research Assistants to work with an interdisciplinary team of researchers on the implications of artificial intelligence (AI) for healthcare practitioners, practices and organisations.

The Opportunity:
Applications are invited for a Research Assistant to work on an exciting research project examining the implications of artificial intelligence (AI) for healthcare. The project focuses on the real-world effects of AI on clinicians (e.g., tasks, roles, skills, expertise), practices (e.g., diagnostic workflows, care delivery pathways) and the healthcare system.

The position offers an opportunity to work closely with Dr Luciana D’Adderio (the project’s Principal Investigator) and her extended multidisciplinary team including experts in the Social Sciences (Business/Management, Organisation Science/Studies, Information Systems, Healthcare Innovation), Artificial Intelligence and Medicine.

The Researcher will be based at the University of Edinburgh’s Usher Institute, a leading academic innovation hub combining a strong interdisciplinary research culture, an unrivalled focus on AI and data-driven innovation for medicine and healthcare, and an emphasis on state-of-the-art research and real-world impacts.

The University of Edinburgh is an exciting, positive, creative, challenging and rewarding place to work. You will benefit from a competitive reward package and a wide range of staff benefits, which includes a generous holiday entitlement and a defined benefits pension scheme.

Informal enquiries may be directed to Dr Luciana D’Adderio, Chancellor’s Fellow in Data Driven Innovation and Turing Fellow (l.d-adderio@ed.ac.uk)

Your skills and attributes for success: 

  • Applicants must be close to completing a Ph.D. in Business & Management or Medical Informatics
  • Experience of or willingness to engage in interdisciplinary academic teams and activities as well as with a range of stakeholders
  • Conducting empirical qualitative research including collecting, managing and analysing data from ethnographic observations, interviews and focus groups
  • Excellent academic record and work ethic
  • Excellent organizational and oral/written communication skills
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