Bioinformatician

Barts Cancer; Greater London; Hybrid; GBP 42,000 - 56,000; Full time

Job summary

The PharosAI initiative at Barts Cancer Institute, part of Queen Mary University of London, seeks a talented bioinformatician to join a national programme advancing AI in cancer research. Funding for 15 months with potential extension subject to funding.

The role focuses on spatial transcriptomics, large-scale data analysis, and developing secure AI platforms to support NHS delivery and AI-driven drug discovery, offering an interdisciplinary, collaborative environment and opportunities to

Qualifications

• PhD in a relevant discipline (Bioinformatics/Computational Biology/Computer Science).
• Strong track record in spatial transcriptomics, whole-genome sequencing and large-scale data analysis.
• Ambition to contribute to cutting-edge cancer research and AI-driven innovation.

Skills

Spatial transcriptomics

Whole-genome sequencing

Large-scale data analysis

Programming

Education

PhD in Bioinformatics/Computational Biology/Computer Science

Job description

15 months - Until 31.03.2028 due to funding (with the possibility of an extension subject to funding)

We are seeking a talented and dedicated bioinformaticianto join the ground-breaking PharosAI initiative - a £43.6M national programme co-led by Queen Mary University of London. 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.

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.

About You

For this role you will have a PhD in a relevant discipline (e.g. Bioinformatics, Computational Biology or Computer Science) alongside a track record of working in these environments. Your knowledge of spatial transcriptomics, whole-genome sequencing, large scale data analysis and programmatical expertise will stand you out amongst your peers.

We are also looking for someone who will be passionate about contributing to cutting-edge cancer research and AI-driven innovation, with a strong technical background and a collaborative mindset, and a commitment to delivering excellence in research.

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 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.

We offer competitive salaries, access to a generous pension scheme, 30 days' leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities.

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.

Queen Mary University of London
Mile End Road
London E1 4NS
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