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Reasearch Assitant / Research Associate - (AI) for cancer projectNew

University of Glasgow

Glasgow

On-site

GBP 33,000 - 46,000

Full time

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Job summary

The University of Glasgow is seeking a Research Assistant/Research Associate for an AI-focused cancer project. This role involves developing AI models, conducting research, and engaging in high-quality publications. Ideal candidates will have strong backgrounds in deep learning, medical imaging, and spatial omics, contributing significantly to interdisciplinary research efforts.

Benefits

41 days of leave for full-time staff
Flexible working approach
Free sport membership for new staff

Qualifications

  • SCQF Level 10 or equivalent in a relevant area.
  • Knowledge of deep learning for medical imaging is crucial.
  • PhD preferred for grade 7 position.

Responsibilities

  • Plan and conduct assigned research in accordance with project deliverables.
  • Document research output and contribute to publications.
  • Assist in identifying potential funding sources and proposals.

Skills

Deep learning
Medical imaging
Spatial omics data analysis
Python programming
Research creativity
Excellent communication skills

Education

Honours degree in a relevant subject
PhD in subject specialism

Job description

Reasearch Assitant / Research Associate - (AI) for cancer project

Join to apply for the Reasearch Assitant / Research Associate - (AI) for cancer project role at University of Glasgow

Reasearch Assitant / Research Associate - (AI) for cancer project

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Join to apply for the Reasearch Assitant / Research Associate - (AI) for cancer project role at University of Glasgow

Job details

Posted 23 June 2025 Salary Grade 6/7, £33,482- £37,174/£40,497- £45,413 per annum End date 07 July 2025 LocationGlasgow Job Type Research and Teaching Reference176273 Expiry 07 July 2025 at 23:45

Job Description

Job Purpose

The post holder will drive an interdisciplinary artificial intelligence (AI) for cancer project as part of the Glasgow Living Lab. The project will develop novel AI models to integrate digital histology and cutting-edge spatial omics data to predict patient outcomes.

The post holder will be appointed by the School of Cancer Sciences, working with Dr Ke Yuan and Professors John Le Quesne and Kevin Blyth and the wider multi-disciplinary research team at the Glasgow Living Lab. We are looking for candidates with experience/strong interests in learning some of the following: deep learning, medical imaging, and spatial omics data analysis.

For further information, please contact Dr Ke Yuan (https://www.crukscotlandinstitute.ac.uk/cruk-si-research/cruk-si-research-groups/ke-yuan.html) ke.yuan@glasgow.ac.uk and Professor John Le Quesne (https://www.crukscotlandinstitute.ac.uk/cruk-si-research/cruk-si-research-groups/john-le-quesne-deep-phenotyping-of-solid-tumours.html) john.lequesne@glasgow.ac.uk.

Main Duties And Responsibilities

Perform the following activities in conjunction with and under the guidance of the Principal/Co Investigator: 1. Plan and conduct assigned research individually or jointly in accordance with the project deliverables and project/group/School/College research strategy.

  • Document research output including analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate.
  • Develop and enhance your research profile and reputation and that of The University of Glasgow/School/Research Group, including contributing to publications of international quality in high profile/quality refereed journals, enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem.
  • Contribute to the presentation of work at international and national conferences, at internal and external seminars, colloquia and workshops to develop and enhance our research profile.
  • Contribute to the identification of potential funding sources and to assist in the development of proposals to secure funding from internal and external bodies to support future research.
  • Collaborate with colleagues and participate in team/group meetings/seminars/workshops across the research Group/School/College/University and wider community.
  • Contribute to the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students and less experienced members of the project team to ensure their effective development.
  • Perform administrative tasks related to the activities of the research group and School, including Budgets/Expenditure.
  • Carry out modest Teaching activities (e.g demonstrating etc) and associated admin as assigned by the Head of School and in consultation with Principal Investigator.
  • Keep up to date with current knowledge and recent advances in the field/discipline.
  • Engage in continuing professional development activities as appropriate.
  • Undertake any other duties of equivalent standing as assigned by the Head of School/Director of Research Institute.
  • Contribute to the enhancement of the University’s international profile in line with the University’s Strategic Plan, Inspiring People Changing the World.

For Appointment At Grade 7:

  • Perform the above duties with a higher degree of independence, leadership and responsibility, particularly in relation to planning, funding, collaborating and publishing research, and mentoring colleagues.

15 Establish and sustain a track record of independent and joint published research to establish and maintain your expert reputation in the subject area.

  • Survey the research literature and environment, understand the research challenges associated with the project & subject area, & develop/implement a suitable research strategy.

Knowledge, Qualifications, Skills And Experience

Knowledge / Qualifications

Essential:

A1 SCQF Level 10 (Honours degree) in a relevant subject or a cognate discipline, or equivalent.

A2 Specialist theoretical and practical knowledge of deep learning for medical imaging/omics/spatial omics.

A3 A comprehensive and up-to-date knowledge of the wider subject area or subject specialism

Desirable:

B1 An awarded (or recently submitted or near completion) PhD in subject specialism or equivalent

Essential:

For appointment at grade 7:

A4. Normally Scottish Credit and Qualification Framework level 12 (PhD) plus track record of emerging independence within a research/professional environment, or alternatively possess professional qualifications and experience equivalent to PhD level plus the requisite experience.

Essential:

Skills

C1 Proficient in programming using Python, and deep learning frameworks such as TensorFlow and PyTorch.

C2 Research creativity and cross-discipline collaborative ability as appropriate.

C3 Excellent communication skills (oral and written), including public presentations and ability to communicate complex data/concepts clearly and concisely

C4 Excellent interpersonal skills including team working and a collegiate approach

C5 Appropriate workload/time/project/budget/people management skills

C6 Extensive IT and data analysis/interpretation skills as appropriate. Including experience on single cell omics.

C7 Self-motivation, initiative and independent thought/working

C8 Problem solving skills including a flexible and pragmatic approach

Essential :

C9 A comprehensive and up-to-date knowledge of current issues and future directions within the wider subject area or subject specialism

C10 Knowledge of project specific technical models, equipment or techniques

C11 Sufficient depth of relevant research experience, normally including sufficient postdoctoral experience in a related field, appropriate to an early career researcher

Experience

Essential:

E1 Sufficient relevant research experience (or equivalent) appropriate to an early career researcher

E2 Project or subject specific experience

E3 Experience of scientific writing

E4 Proven ability to deliver quality outputs in a timely and efficient manner

E5 Evidence of an emerging track record of publications in a relevant field

Essential :

E6 A track record of presentation and publication of research results in quality journals/conferences

E7 Experience of making a leading contribution in academic activities

E8 Ability to demonstrate a degree of independence as illustrated by identification of project objectives from assessment of the literature, design & analysis of experiments & drafting of papers.

E9 Experience in undertaking independent research

Desirable :

F1 An emerging national or international reputation

Please note that as part of your application you must address and demonstrate how you meet EACH of the essential/desirable criteria.

Terms and Conditions

Salary: Grade 6/7,£33,482-£37,174/£40,497-£45,413per annum

This post is full time, and has funding for up to 12 months.

The University of Glasgow has a responsibility to ensure that all employees are eligible to live and work in the UK. If you require a Skilled Worker visa to work in the UK, you will be required to meet the eligibility requirements of the visa route to be assigned a Certificate of Sponsorship.

Please note that this post may be eligible to be sponsored under the Skilled Worker visa route if tradeable points can be used under the Skilled Worker visa rules. For more information please visit: https://www.gov.uk/skilled-worker-visa.

As a valued member of our team, you can expect:

1 A warm welcoming and engaging organisational culture, where your talents are developed and nurtured, and success is celebrated and shared.

2 An excellent employment package with generous terms and conditions including 41 days of leave for full time staff, pension - pensions handbook https://www.gla.ac.uk/myglasgow/payandpensions/pensions/, benefits and discount packages.

3 A flexible approach to working.

4 A commitment to support your health and wellbeing, including a free 6-month UofG Sport membership for all new staff joining the University https://www.gla.ac.uk/myglasgow/staff/healthwellbeing/.

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.

Closing Date: 7 July 2025 at 23:45

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Research, Analyst, and Information Technology
  • Industries
    Higher Education

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