Clinical Research Fellow in Digital Pathology
University of Edinburgh
Scotland,
United Kingdom
Research and Science
Skilled Worker
Job posted on May 17, 2025
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Job Description:
Grade AMN2: £48,288 - £91,753** per annum CMVM / Institute for Regeneration and Repair / Centre for Inflammation Research Full-time: 40 hours per week Fixed Term: 12 months (up to 31 Aug 2026) - any appointment over step 4 of AMN2 may result in reduced contract length
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 full-time (40 hours per week) and requires on-campus working. The salary for this post is £48,288 to £91,753 per annum*/**
** Please note that any appointment over AMN2, step 4 may result in reduced contract length.
Your skills and attributes for success:
Click to view a copy of the full job description (opens new browser tab)
Application Information Please ensure you include the following documents in your application:
These items should be uploaded as one single combined document in either PDF or Word format.
As a valued member of our team, you can expect:
Championing equality, diversity and inclusion The 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 right to work webpages (opens new browser tab) The University is able to sponsor the employment of international workers in this role. If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office’s English Language requirements and apply for and secure a Skilled Worker Visa. Key notes for applicants The closing date for applications is 6 June 2025 . 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. We anticipate that interviews will be held within 2-3 weeks of the advert closing date.
APPLY NOW
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 full-time (40 hours per week) and requires on-campus working. The salary for this post is £48,288 to £91,753 per annum*/**
- Salary will be determined on the basis of previous service in the NHS training grades. Normally you will be matched to your current incremental point or nearest equivalent. If you are currently a member of the NHS Pension Scheme and are employed in a clinical post it may be possible for you to remain a member of the NHS Pension Scheme.
** Please note that any appointment over AMN2, step 4 may result in reduced contract length.
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
- An Honorary NHS contract will be sought for the successful post holder. You therefore must be eligible to hold an honorary contract with NHS Lothian and must also be registered with the General Medical Council
Click to view a copy of the full job description (opens new browser tab)
Application Information Please ensure you include the following documents in your application:
- CV
- Cover letter, of not more than one page, that details your level of experience, your interest in digital pathology and how you hope the role will contribute to your career and detailing how you meet each of the essential criteria as outlined on the job description.
These items should be uploaded as one single combined document in either PDF or Word format.
As a valued member of our team, you can expect:
- A competitive salary
- An exciting, positive, creative, challenging and rewarding place to work.
- To be part of a diverse and vibrant international community
- Comprehensive Staff Benefits, such as a generous holiday entitlement, competitive pension schemes, staff discounts, and family-friendly initiatives. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits
Championing equality, diversity and inclusion The 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 right to work webpages (opens new browser tab) The University is able to sponsor the employment of international workers in this role. If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office’s English Language requirements and apply for and secure a Skilled Worker Visa. Key notes for applicants The closing date for applications is 6 June 2025 . 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. We anticipate that interviews will be held within 2-3 weeks of the advert closing date.