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Senior Research Scientist in Artificial Intelligence and Medical Imaging

University of Sheffield - Infection, Immunity & Cardiovascular Disease

Location: Sheffield
Salary: £45,737 to £54,421 pro-rata. Potential to progress to £61,228 per annum through sustained exceptional contribution.
Hours: Part Time
Contract Type: Fixed-Term/Contract
Placed On: 27th March 2023
Closes: 7th April 2023
Job Ref: UOS036773
 

We have an exciting and unique opportunity for a highly skilled researcher to join our team as a Senior Research Scientist working in artificial intelligence (AI) in medical imaging. The successful candidate will be a key member of our team working on a project focused on understanding cardiac maladaptation using imaging and metadata in the ASPIRE, National Bioresource IPAH and UK Biobank data.

This project is highly relevant to the faculty, department, and university strategy, as it aligns with the institution's AI strategy and with INSIGNEO, (institute for in-silico medicine). Our university has recognized the importance of AI in medical research and has established INSIGNEO to promote and support the development of in-silico medicine through collaboration across multiple disciplines. Our project is a direct result of this focus, and we are committed to advancing the field through innovative research.

Furthermore, our project is aligned with the objectives of the National Institute for Health Research (NIHR) Biomedical Research Centre (BRC), which aims to translate scientific advances into patient benefits. By identifying factors that determine adaptation capacity in the right heart, we can contribute to the development of new treatments for right heart failure, which is the number one cause of death in patients with pulmonary arterial hypertension (PAH).

The top three essential criteria for this role are:

  1. Experience in the field of medical imaging and pulmonary vascular disease
  2. Strong background in artificial intelligence and machine learning applied to medical imaging
  3. Experience in handling large-scale imaging and metadata data sets.

The successful candidate will have the opportunity to contribute to the aims and objectives of our faculty, department, and university strategy by conducting cutting-edge research in the field of artificial intelligence and medical imaging. They will work with a team of researchers and clinicians to advance our understanding of right heart adaptation and contribute to the development of new treatments for right heart failure. This is a fantastic opportunity for a motivated researcher to make a significant contribution to the field, advance their career, and contribute to the mission of our institution.

This post has a fixed start date of 12th April 2023.

Interviews are expected to take place week commencing 3rd April 2023.

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