At a Glance
- Tasks: Lead innovative AI projects to revolutionise cancer care and improve patient outcomes.
- Company: Join Queen Mary University of London's PharosAI initiative, a pioneering cancer research programme.
- Benefits: Flexible working, inclusive policies, and comprehensive staff benefits for a balanced life.
- Other info: Be part of a diverse team dedicated to transforming cancer treatment and patient care.
- Why this job: Make a real impact in healthcare by contributing to groundbreaking AI-driven cancer research.
- Qualifications: Postgraduate degree and PhD in a related field with experience in genomics and machine learning.
The predicted salary is between 36000 - 60000 € per year.
Job Description
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
14/09/2025, 23:55
Data Science Lead - PharosAI employer: Barts Cancer Institute, Queen Mary University London
At PharosAI, you will join a pioneering initiative that is set to transform cancer care through AI innovation, working alongside a diverse and interdisciplinary team at the prestigious Barts Cancer Institute. We pride ourselves on fostering a collaborative work culture that values inclusivity and offers flexible working arrangements, comprehensive benefits, and ample opportunities for professional growth in a mission-driven environment dedicated to making a real impact on patient care and research. This is not just a job; it's a chance to be part of a revolutionary project that aims to democratise access to cutting-edge technology and improve lives across the UK.
Contact Detail:
Barts Cancer Institute, Queen Mary University London Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Lead - PharosAI
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to PharosAI or similar projects. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show your passion for AI and cancer research during interviews. Share your thoughts on how you can contribute to the mission of revolutionising cancer care. We want to see your enthusiasm!
✨Tip Number 3
Prepare some insightful questions about the project and the team. This shows you're genuinely interested and have done your homework. Plus, it helps us see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. We’re excited to see what you bring to the table!
We think you need these skills to ace Data Science Lead - PharosAI
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for cancer research and AI-driven innovation shine through. We want to see that you’re not just qualified, but genuinely excited about making a difference in this field.
Tailor Your CV:Make sure your CV highlights relevant experience, especially with genomics, EHRs, and machine learning. We’re looking for specific examples that demonstrate your skills and how they relate to the role at PharosAI.
Answer the Questions Thoughtfully:As part of the application process, you'll need to answer specific questions. Take your time to provide thoughtful responses that reflect your understanding of the project and how you can contribute to it.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at Barts Cancer Institute, Queen Mary University London
✨Know Your Stuff
Make sure you brush up on your knowledge of genomics, EHRs, and medical imaging. Be ready to discuss your experience with machine learning and deep learning frameworks, as well as any APIs or dashboards you've developed. This role is all about cutting-edge cancer research, so showing your expertise will definitely impress.
✨Show Your Passion
This isn't just a job; it's a mission! Be prepared to talk about why you're passionate about AI-driven innovation in cancer care. Share any personal stories or experiences that fuel your commitment to this field. The interviewers want to see that you're genuinely excited about making a difference.
✨Collaborative Mindset
Since the role involves working in an interdisciplinary team, highlight your collaborative skills. Prepare examples of past projects where teamwork was key to success. Show that you can communicate effectively with scientists, bioinformaticians, and healthcare professionals alike.
✨Ask Thoughtful Questions
Prepare some insightful questions about the PharosAI initiative and the Barts Cancer Institute. This shows that you've done your homework and are genuinely interested in the project. Ask about their approach to data sharing or how they envision the future of AI in cancer care—this will set you apart from other candidates.
