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Data Science Lead

Barts Cancer Institute, Queen Mary University London
Dartford
1 week ago
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Employer Barts Cancer Institute, Queen Mary University London Location Dartford Salary Unspecified Closing date 14 Jul 2025

View more categories View less categories Contract Permanent Hours Full time Sector Technology & IT ,Data analysis

About the Role

About the Project
We are seeking a talented and dedicated team of scientists, bioinformaticians and support colleaguesto 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 a postgraduate degree and PHD in a related field and an enviable track record working with several modalities including genomics (WES, SNPs, transcriptomics), EHRs, and/or medical imaging. Your experience with machine learning and deep learning frameworks, development of API's and dashboards alongside proficiency in programming skills, will stand you out from your peers.

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.

*As part of the application process, you'll be required to answer specific questions. Depending on the number of applications received, we may do an initial shortlisting process based on this criterion only.

Closing Date

20/07/2025, 23:55

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National AI Awards 2025

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