Research Assistant / Associate - artificial intelligence (AI) for cancer project

University of Glasgow; Glasgow; On-site; GBP 33,000 - 46,000; Full time

Job summary

An established industry player is seeking a Research Assistant/Associate for an exciting AI project focused on cancer research. This role involves developing innovative models using deep learning and spatial omics data to predict prostate cancer metastasis. You will collaborate with leading researchers and contribute to impactful publications and presentations. This full-time position offers a unique opportunity to enhance your research profile while working in a supportive and diverse environment. If you are passionate about AI and its applications in healthcare, this role is perfect for you.

Benefits

Generous Leave

Pension

Flexible Working

Wellbeing Support

Qualifications

• Honours degree in a relevant field and knowledge of deep learning for medical imaging.
• Experience with TensorFlow and PyTorch, along with strong communication skills.

Responsibilities

• Conduct research aligned with project goals and document findings.
• Collaborate within the research team and supervise students.
• Engage in professional development and contribute to the university’s profile.

Skills

Deep Learning

Medical Imaging

Python Programming

TensorFlow

PyTorch

Communication Skills

Research Experience

Education

Honours Degree (SCQF Level 10)

PhD (or near completion)

Job description

Research Assistant / Associate - Artificial Intelligence (AI) for Cancer Project

Join to apply for the Research Assistant / Associate - Artificial Intelligence (AI) for Cancer Project role at University of Glasgow.

Job Details

• Posted: 22 April 2025
• Salary Grade 6: £33,482 - £37,174; Grade 7: £40,497 - £45,413
• End date: 20 May 2025
• Location: Glasgow
• Job Type: Research and Teaching
• Reference: 171832
• Expiry: 20 May 2025

Job Description

Job Purpose

The post holder will lead an interdisciplinary AI project funded by Prostate Cancer UK, developing models to integrate histology, single-cell RNA sequencing, and spatial omics data to predict prostate cancer metastasis. The role involves collaboration with Dr. Ke Yuan and Professor Hing Leung, focusing on deep learning, medical imaging, and spatial omics data analysis.

Main Duties and Responsibilities

1. Plan and conduct research aligned with project goals and strategies.
2. Document research findings, analyze data, and prepare reports and publications.
3. Enhance research profile through publications, conferences, and societal impact.
4. Participate in presentations, seminars, and workshops.
5. Identify funding opportunities and assist in proposal development.
6. Collaborate within the research team and broader academic community.
7. Supervise and mentor students and junior researchers.
8. Perform administrative and teaching duties as assigned.
9. Stay updated on advances in the field and engage in professional development.
10. Contribute to the university’s international profile and strategic goals.

Qualifications and Experience

Essential: Honours degree (SCQF Level 10) in a relevant field, knowledge of deep learning for medical imaging/omics, programming skills in Python, experience with TensorFlow/PyTorch, strong communication skills, and research experience.

Desirable: PhD (or near completion), experience with single-cell omics, and a track record of publications and presentations.

Terms and Conditions

Salary: Grade 6/7, £33,482 - £37,174 / £40,497 - £45,413 per annum. Funding for up to 36 months. Full-time position. Eligibility to work in the UK required.

Additional Information

The university promotes equality and diversity and encourages applications from underrepresented groups. Benefits include generous leave, pension, flexible working, and wellbeing support.

Application Deadline

20 May 2025 at 23:45.