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Bioinformatician - pharosai

London
Barts Cancer Institute (Queen Mary University of London)
Posted: 22h ago
Offer description

Join to apply for the Bioinformatician - PharosAI role at Barts Cancer Institute (Queen Mary University of London)

Join to apply for the Bioinformatician - PharosAI role at Barts Cancer Institute (Queen Mary University of London)

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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

6328

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

Salary Range

£43,677 - £51,040 per annum

Job Pack

Opportunity 6328 - Bioinformatician - PharosAI - Job Pack.pdf – 492KB Opens in a new window

Contact Details

Prof. Claude Chelala

c.chelala@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 a PHD in a relevant and appropriate discipline (e.g. Bioinformatics, Computational Biology or Computer Science alongside a track record of working in these environments. Your knowledge of machine learning and AI, large scale data analysis and expertise in scripting language will stand you out amongst 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 will 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

14/07/2025, 23:55


Seniority level

* Seniority level

Entry level


Employment type

* Employment type

Full-time


Job function

* Job function

Research, Analyst, and Information Technology
* Industries

Research Services

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