Group Leader in Multimodal AI for Cancer

at University College London, London, United Kingdom

Listed on EduAtlas: live school vacancies from schools’ own careers pages and public job services. Apply on jobs.ac.uk.

Salary

£57,570 to £75,660 a year

Closing date

30 November 2026

Start

Not given in the advert

Contract

Full Time, Fixed-Term/Contract

First seen

9 November 2026, on jobs.ac.uk

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The advert

About us The UCL Cancer Institute—one of the world’s leading cancer research centres—is seeking an exceptional new Group Leader to lead innovative work at the intersection of digital pathology, AI, and real-world clinical data. https://www.ucl.ac.uk/cancer/ . This is a unique opportunity to develop an independent research programme focused on applying multimodal AI methods to digital pathology data and integrating it with electronic health records to drive new insights in cancer biology and patient care. Working within a highly collaborative environment—including partnership with UCL Hospital - you will drive cutting-edge research that translates data into real clinical impact. About the role Role highlights: Develop an independent research programme applying machine learning to pathology & EHR data Work with large-scale clinical datasets to drive translational cancer research Liaise closely with the SAFEHR programme at UCLH ( https://www.safehr-data.org/ ). Publish high-impact research and secure external funding. Applications should include a CV and a Cover Letter: In the Cover Letter please evidence the essential and desirable criteria in the Person Specification part of the Job Description. (By including a Cover Letter, you can leave blank the 'Why you have applied for this role' field in the application form, which is limited in the number of characters it will allow.) The role is available as fixed term for 18 months in the first instance. About you Successful candidates must have: PhD + postdoctoral experience in multimodal AI / digital pathology / computational biology Expertise in digital pathology, machine learning and healthcare data. Publication record and ready to lead your own independent research. The ability to build effective collaborations with clinicians, researchers, data scientists, and core facilities. Excellent communication and interpersonal skills, with the ability to engage successfully with a wide range of stakeholders. Experience supervising or mentoring junior researchers and students. A commitment to the highest standards of research integrity, equality, diversity and inclusion. Reward and Benefits | Work at UCL - UCL – University College London to find out more. Read more: UCL Equality, Diversity and Inclusion . Applicants should also familiarise themselves with UCL’s policies on: Prevention of Bullying, Harassment and Sexual Misconduct Policy and Personal Relationships Policy . Customer advert reference: B02-11543

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