Research Associate in AI solution for early diagnosis of cancer in UK patients

Imperial College London; London; On-site; GBP 43,000 - 47,000; Full time

Job summary

A prestigious research university in London seeks a Research Associate to focus on AI solutions for cancer diagnosis. The role requires a PhD in a relevant field and involves conducting innovative research, with opportunities to publish findings. You'll be part of a collaborative team, benefiting from a competitive salary and extensive professional development offerings.

Benefits

Competitive salary

38 days of leave per year

Comprehensive career development package

Qualifications

• PhD in computer science, mathematics, or a related discipline required.
• Experience in research and publications in relevant journals.
• Software development experience in healthcare preferred.
• Knowledge of LLMs and experimental design is necessary.

Responsibilities

• Conduct research on AI technology for cancer diagnosis.
• Explore hybrid neuro-symbolic systems.
• Train AI models on real-world patient data.
• Publish research findings in refereed journals.

Skills

Research environment experience

Publications in refereed journals

Software deployment experience

Knowledge of LLMs

Experimental design understanding

Symbolic machine learning

Education

PhD in computer science, mathematics, or related discipline

Job description

Research Associate in AI solution for early diagnosis of cancer in UK patients, London

Client:

Imperial College London

Location:

London, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Reference:

39bfc075885c

Job Views:

5

Posted:

12.08.2025

Expiry Date:

26.09.2025

Job Description:

The post is funded by the NIHR i4i cancer early detection programme under the project “AI-DIP: Artificial Intelligence to support cancer early diagnosis in general practice. (AI-DIP)” and will be based at Imperial College London, with significant interaction with NHS, UK AI company ILASP Limited, and US SOAP-Health company. The project is led by Professor Brendan Delaney and this workstream by Professor Alessandra Russo.

This position involves conducting research on advancing robust and explainable hybrid AI technology powered by LLMs in healthcare. Responsibilities include exploring hybrid neuro-symbolic systems, modeling relevant domain knowledge, and training Hybrid AI models on real-world patient data. Research Associates are expected to publish their findings in refereed journals.

You will join a highly collaborative, multidisciplinary team, including PhD students and postdoctoral associates from Computing, Mathematics, and Medicine, engaging with stakeholders such as clinicians and patients.

• Hold a PhD in computer science, mathematics, or a related discipline.*
• Have practical experience in a research environment and publications in relevant refereed journals.
• Possess experience in deploying, developing, and maintaining software, preferably in healthcare settings.
• Have knowledge of LLMs, transformer models, experimental design, and/or symbolic machine learning.

See the full job description for complete requirements.

*Candidates not yet awarded their PhD will be hired as Research Assistants with a salary scale of £43,003 - £46,297 per annum.

This position offers the opportunity to advance your career at a world-leading institution. Imperial College is ranked among the top 10 universities globally, with its Department of Computing ranked top in the 2021 UK REF assessment.

You will receive a competitive salary, 38 days of leave per year, and a comprehensive early career development package, including 10 training and development days.