Computer Scientist
| Posting date: | 18 March 2026 |
|---|---|
| Salary: | £41,064 to £46,049 per month |
| Hours: | Full time |
| Closing date: | 01 April 2026 |
| Location: | Glasgow, Scotland |
| Remote working: | On-site only |
| Company: | University of Glasgow |
| Job type: | Contract |
| Job reference: | 195153 |
Summary
College of Medical Veterinary & Life Sciences
School of Cancer Sciences
Computer Scientist
Vacancy Reference: 195153
Salary: UofG Grade 7, £41,064 - £46,049 per annum
Location: The Queen Elizabeth University Hospital
This post is full time and fixed term until 30th March 2027.
The University of Glasgow has been changing the world for more than 570 years, and today we are one of the world's top 100 universities. We are delighted to have recently been awarded Scottish University of the Year by the Times & Sunday Times Good University Guide 2024.
Our people have always been at the forefront of innovation, and our past achievements inspire our current world changers.
We are seeking a highly motivated Computer Scientist to advance tissue-based research through innovative computational and artificial intelligence (AI) approaches to pathological images.
Through use of specialist technical expertise, the post holder will design and optimise digital pathology workflows, develop robust image analysis pipelines and integrate AI-driven solutions to support tissue microarray construction across multiple tissue types.
The post holder will combine expertise in computational science with an understanding of histopathology to drive high-quality image analysis and AI-based pathology solutions. You will work closely with pathologists and laboratory scientists to enable robust, scalable digital pathology across multiple disease areas.
Informal enquiries are welcomed and should be directed to Pamela McCall at Pamela.McCall@glasgow.ac.uk
Apply online at: https://www.jobs.gla.ac.uk/job/computer-scientist-5847396
Closing date: 23:45 on Wednesday 1st April 2026
We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under-represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community https://www.gla.ac.uk/myglasgow/humanresources/equalitydiversity/.
We endorse the principles of Athena Swan https://www.gla.ac.uk/myglasgow/humanresources/equalitydiversity/athenaswan/ and hold bronze, silver and gold awards across the University.
We are investing in our organisation, and we will invest in you too. Please visit our website https://www.gla.ac.uk/explore/jobs/ for more information.
School of Cancer Sciences
Computer Scientist
Vacancy Reference: 195153
Salary: UofG Grade 7, £41,064 - £46,049 per annum
Location: The Queen Elizabeth University Hospital
This post is full time and fixed term until 30th March 2027.
The University of Glasgow has been changing the world for more than 570 years, and today we are one of the world's top 100 universities. We are delighted to have recently been awarded Scottish University of the Year by the Times & Sunday Times Good University Guide 2024.
Our people have always been at the forefront of innovation, and our past achievements inspire our current world changers.
We are seeking a highly motivated Computer Scientist to advance tissue-based research through innovative computational and artificial intelligence (AI) approaches to pathological images.
Through use of specialist technical expertise, the post holder will design and optimise digital pathology workflows, develop robust image analysis pipelines and integrate AI-driven solutions to support tissue microarray construction across multiple tissue types.
The post holder will combine expertise in computational science with an understanding of histopathology to drive high-quality image analysis and AI-based pathology solutions. You will work closely with pathologists and laboratory scientists to enable robust, scalable digital pathology across multiple disease areas.
Informal enquiries are welcomed and should be directed to Pamela McCall at Pamela.McCall@glasgow.ac.uk
Apply online at: https://www.jobs.gla.ac.uk/job/computer-scientist-5847396
Closing date: 23:45 on Wednesday 1st April 2026
We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under-represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community https://www.gla.ac.uk/myglasgow/humanresources/equalitydiversity/.
We endorse the principles of Athena Swan https://www.gla.ac.uk/myglasgow/humanresources/equalitydiversity/athenaswan/ and hold bronze, silver and gold awards across the University.
We are investing in our organisation, and we will invest in you too. Please visit our website https://www.gla.ac.uk/explore/jobs/ for more information.
Proud member of the Disability Confident employer scheme
Disability Confident
About Disability Confident
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to Disability Confident.