Clinical Research Fellow in Digital Pathology
University of Edinburgh
Job Description:The Opportunity: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:
This post will be appointed at Grade AMN2 step 1, which is £43,504 per annum.Click to view a copy of the full (opens new browser tab)As a valued member of our team, you can expect:
(opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits.Championing equality, diversity and inclusionThe University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our (opens new browser tab).On this occasion the University will not consider applicants requiring sponsorship for this role. International workers will therefore only be able to take up this role if they can demonstrate an alternative right to work in the UK.Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.About Us: As a world-leading research-intensive University, we are here to address tomorrow’s greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally.About the Team:The Centre for Inflammation Research (CIR; Director, Professor David Dockrell) leverages peer-reviewed interdisciplinary research programmes and focussed collaboration, to characterise mechanisms of acute and chronic inflammation. CIR aims to characterise what promotes health at the molecular level in order to prevent the harmful consequences of inflammation in clinical medicine. Effort is targeted at: inhibiting the initiation of inflammation by blocking specific molecular triggers and by modulating cellular and tissue responses resulting in organ dysfunction; finding new approaches to modulate established inflammatory responses to limit tissue injury; and promoting safe resolution of inflammation to restore healthy structure and function of tissue.The CIR has a broad interest in inflammatory disease in a range of tissues including in the lungs, kidney, liver, pancreas, bowel, bone, joints, skin, heart and brain. There is in-depth analysis of stimuli that induce or modify inflammation with detailed programmes considering the role of sex, development, auto-immunity, infection and other environmental influences. Importantly, the principles derived will have ready application to inflammatory and reparatory responses in virtually all physiological and pathological settings, including cancer and infection (not least COVID-19). Translation is aided by a commitment to novel diagnostic and imaging modalities and our proximity to patient groups and healthy volunteers in the Royal Infirmary, Edinburgh.Our research aims align closely with the vision of IRR and other centres within IRR, to promote human health through in-depth understanding of tissue regeneration and repair, while developing a multi-pronged translational programme to effect therapeutic innovation in this area. IRR is located on the BioQuarter Campus, Edinburgh.
£43504 – 64461 per year
Edinburgh – Midlothian
Thu, 04 Jul 2024 03:01:47 GMT
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