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- Tasks: Join a cutting-edge AI project to revolutionise cancer research through deep learning.
- Company: Be part of the University of Glasgow, a leader in cancer sciences and innovative research.
- Benefits: Enjoy 41 days of leave, flexible working, and a free gym membership for new staff.
- Why this job: Make a real impact in healthcare while developing your skills in a supportive environment.
- Qualifications: A relevant degree and programming skills in Python are essential; a PhD is a plus.
- Other info: Applications from diverse backgrounds are encouraged to promote equality and inclusion.
The predicted salary is between 28400 - 31600 £ per year.
Research Assistant – artificial intelligence (AI) for cancer project
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Research Assistant – artificial intelligence (AI) for cancer project
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Job details
Posted 11 August 2025 Salary Grade 6 £33,951-£37,694 per annum End date 08 September 2025 LocationGlasgow Job Type Research and Teaching Reference179072 Expiry 08 September 2025 at 23:45
Job Description
Job Purpose
The post holder will drive an interdisciplinary artificial intelligence (AI) for cancer project. The project will develop novel computational methods that leverage state-of-the-art deep learning models for proteins and genomes to predict clinical impacts of mutations in cancer.
The post holder will be appointed by the School of Cancer Sciences, working with Dr Ke Yuan and Professor David Chang and the wider multi-disciplinary research team at the School of Cancer Sciences and Cancer Research UK Scotland Institute. We are looking for candidates with experience/strong interests in learning some of the following: deep learning, omics and clinical data analysis.
Main Duties And Responsibilities
Perform the following activities in conjunction with and under the guidance of the Principal/Co Investigator:
- 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, World Changers Together.
Knowledge/Qualifications
Knowledge, Qualifications, Skills and Experience
Essential:
A1 SCQF Level 10 (Honours degree) in a relevant subject or a cognate discipline, or equivalent.
A2 Specialist theoretical and practical knowledge of protein or genomic language models for biomolecular interaction prediction.
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:
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 omics analysis
C7 Self-motivation, initiative and independent thought/working
C8 Problem solving skills including a flexible and pragmatic approach
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
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.
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 David Chang (https://www.gla.ac.uk/schools/cancersciences/staff/davidchang/) david.chang@glasgow.ac.uk.
Terms and Conditions
Salary will be Grade 6, £33,951 – £37,694 per 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 : 8 September 2025 @23:45
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Research Assistant - artificial intelligence (AI) for cancer projectNew employer: University of Glasgow
Contact Detail:
University of Glasgow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant - artificial intelligence (AI) for cancer projectNew
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and cancer research. This will not only help you understand the project better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field by attending relevant conferences or seminars. Making connections with researchers and academics can provide insights into the role and may even lead to recommendations.
✨Tip Number 3
Prepare to discuss your programming skills, particularly in Python and deep learning frameworks like TensorFlow and PyTorch. Be ready to share examples of how you've applied these skills in previous projects.
✨Tip Number 4
Showcase your ability to work collaboratively in interdisciplinary teams. Highlight any past experiences where you successfully contributed to group projects, as this is crucial for the role.
We think you need these skills to ace Research Assistant - artificial intelligence (AI) for cancer projectNew
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Research Assistant position. Make sure to understand the key responsibilities and required skills, especially in deep learning and genomic data analysis.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your programming skills in Python and familiarity with deep learning frameworks like TensorFlow and PyTorch.
Address Essential Criteria: In your application, explicitly address how you meet each of the essential and desirable criteria listed in the job description. Use specific examples from your past experiences to demonstrate your qualifications.
Craft a Compelling Cover Letter: Write a cover letter that not only introduces yourself but also explains your motivation for applying. Discuss your interest in AI and cancer research, and how your background makes you a suitable candidate for this role.
How to prepare for a job interview at University of Glasgow
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in programming languages like Python and frameworks such as TensorFlow and PyTorch. Be prepared to discuss specific projects where you've applied these skills, especially in the context of deep learning or genomic data analysis.
✨Demonstrate Research Experience
Discuss your previous research experience in detail, particularly any work related to cancer research or AI applications. Be ready to explain your role, the methodologies you used, and the outcomes of your projects, as this will show your capability to contribute effectively to the team.
✨Prepare for Collaborative Questions
Since the role involves working with a multi-disciplinary team, be prepared to answer questions about your collaborative experiences. Share examples of how you've worked with others, resolved conflicts, or contributed to team success in past projects.
✨Engage with Current Trends
Stay updated on the latest advancements in AI and cancer research. During the interview, reference recent studies or breakthroughs that relate to the position. This shows your passion for the field and your commitment to ongoing professional development.
