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Group Leader in Multimodal AI for Cancer

On-site in London·Added today (last checked 9 Nov)

University College London

127 open roles

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Our summary

Work mode: On-site, London
Experience: Senior level
Holiday: 41 days holiday
Commute: Cycle to work and season ticket loan

Skills

Pay & benefits

What you'll get

As well as the exciting opportunities this role presents we also offer some great benefits some of which are below:

41 Days holiday (including 27 days annual leave 8 bank holiday and 6 closure days)
Defined benefit career average revalued earnings pension scheme (CARE)
Cycle to work scheme and season ticket loan
On-Site nursery
On-site gym
Enhanced maternity, paternity and adoption pay
Employee assistance programme: Staff Support Service
Discounted medical insurance

Please visit Reward and Benefits | Work at UCL - UCL - University College London to find out more.

The role

What you'll do

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.

About University College London

Industry: Higher Education

In their own words

About the company & team

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.

Additional information

As London's Global University, we know diversity fosters creativity and innovation. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.

We particularly encourage applications from candidates underrepresented in UCL's workforce, including those from Black, Asian and ethnic minority backgrounds, disabled people, and - for Grade 9 and 10 roles - women.

Applicants should also familiarise themselves with UCL's policies on: Prevention of Bullying, Harassment and Sexual Misconduct Policy and Personal Relationships Policy.

All open roles at University College London