Join to apply for the Tissue Bank Data Officer - PharosAI role at Barts Cancer Institute (Queen Mary University of London)
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Join to apply for the Tissue Bank Data Officer - PharosAI role at Barts Cancer Institute (Queen Mary University of London)
Barts Cancer Institute (Queen Mary University of London) provided pay range
This range is provided by Barts Cancer Institute (Queen Mary University of London). Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Opportunity ID
6215
Faculty
Medicine & Dentistry
Location
QM London
Contract Type
Fixed Term
Duration
Initially until 31st March 2027
Working Patterns
Full Time
Full Time Equivalent (FTE)
1.00
Working Hours (Per Week)
35.00
Salary Range
£32,804 - £39,463
Job Pack
Opportunity 6215 - Tissue Bank Data Officer - Job Profile.pdf – 754KB Opens in a new window
Contact Details
Prof Louise Jones
l.j.jones@qmul.ac.uk
About The Role
Transforming Cancer Care with AI
About The Project
We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleagues to join the ground-breaking PharosAI initiative – a £43.6M national programme co-led by Queen Mary University of London. PharosAI is set to revolutionise AI-powered cancer care, accelerating the development of breakthrough therapies, advancing clinical applications, and improving access to cutting-edge technology across the UK healthcare and biotech sectors. Read more about the initiative here
This is a unique opportunity to help build a first-of-its-kind cancer AI development ecosystem, democratising access to data, technologies, and AI expertise, while directly contributing to patient care and innovation.
PharosAI offers more than a job—it offers a mission. You’ll be part of a forward thinking, interdisciplinary team building a federated, secure AI platform designed to support NHS delivery, AI-driven drug discovery, and real-world clinical application. You'll also help lead the way in fair, transparent data sharing, patient involvement, and education in AI for healthcare professionals.
This is your chance to contribute to one of the most visionary cancer innovation projects in the UK—and make a real difference. This role is part of multiple exciting roles that we are recruiting into across a variety of disciplines for this project.
About You
For this role you will have experience in clinical data management, gathered from within either an NHS or research setting alongside current and implemented knowledge of laboratory health and safety procedures. With a BSc or equivalent in a biological science or allied health field, you will be familiar with relevant regulations including HTA.
For all our roles we are searching for those who will be passionate about contributing to cutting-edge cancer research and AI-driven innovation, with either or both capable technical backgrounds and collaborative mindsets, and a commitment to delivering or supporting excellence in research and the impact this can have on our society.
The project will be based at the Barts Cancer Institute, part of the Faculty of Medicine and Dentistry.
About The Institute
The Barts Cancer Institute (BCI) is a Cancer Research UK Centre of Excellence whose work aims to transform the lives of those with and at risk of cancer through innovative research in the laboratory, in patients and in populations. BCI is internationally renowned in many areas of cancer research, and it combines ground-breaking basic research with the expertise of clinicians and clinician scientists. BCI is committed in supporting and developing future cancer researchers through its extensive postgraduate training
About Queen Mary
We continue to embrace diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form.
We offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities in addition to comprehensive staff benefits, found here
Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.
Closing Date
14/07/2025, 23:55
Seniority level
* Seniority level
Entry level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
Research Services
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