Clinical Research Fellow in Digital Pathology

at  University of Edinburgh

COMPUTATIONAL WORKFLOWS AND ARTIFICIAL INTELLIGENCE ARE HELPING DEFINE NEXT-GENERATION PATHOLOGY TO FACILITATE PERSONALISED MEDICINE. THIS IS AN OPPORTUNITY TO EXPERIENCE THE INTERSECTION OF DIGITAL CLINICAL AND ACADEMIC PATHOLOGY, LEARNING HOW TO USE COMPUTATIONAL PATHOLOGY WORKFLOWS AND TO DEVELOP AND TEST AI ALGORITHMS USING OPEN-SOURCE AND COMMERCIAL SOFTWARE PLATFORMS.

This post is fixed term (12 months) and full-time (40 hours per week), however, we are open to considering part-time or flexible working patterns.

YOUR SKILLS AND ATTRIBUTES FOR SUCCESS:

• GMC registration
• This post is suited for a trainee who aspires to be a Histopathologist with a career interest in academic and computational pathology.
• Ability to interface and work with multi-disciplinary teams across science and medicine, for example, NHS pathology laboratory scientists, pathologists, University scientific staff. Applicants must be willing to work in an interdisciplinary environment and develop new skills.
• Experience in the evaluation of tissue pathways within the pathology department and identification of the means to optimise these
• Prior attendance at relevant educational conferences
  This post will be appointed at Grade AMN2 step 1, which is £43,504 per annum.
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Please refer the Job description for details