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- Tasks: Join a team revolutionising cancer care with AI, managing clinical data and supporting innovative research.
- Company: Be part of Queen Mary University’s PharosAI initiative, transforming cancer treatment across the UK.
- Benefits: Enjoy flexible working arrangements, comprehensive staff benefits, and a supportive, inclusive environment.
- Why this job: Make a real impact in cancer research while collaborating with top scientists and healthcare professionals.
- Qualifications: BSc in biological science or allied health, with experience in clinical data management and lab safety.
- Other info: This role is part of a groundbreaking £43.6M project aimed at advancing AI in healthcare.
The predicted salary is between 36000 - 60000 £ per year.
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.
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 will 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 will 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 to 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. 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
Tissue Bank Data Officer - PharosAI employer: New Scientist
Contact Detail:
New Scientist Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Tissue Bank Data Officer - PharosAI
✨Tip Number 1
Familiarise yourself with the PharosAI initiative and its goals. Understanding the project's mission to revolutionise cancer care with AI will help you articulate your passion for the role during interviews and networking opportunities.
✨Tip Number 2
Connect with current employees or alumni from Queen Mary University of London on platforms like LinkedIn. Engaging with them can provide insights into the work culture and expectations, which can be invaluable when preparing for your application.
✨Tip Number 3
Stay updated on the latest trends in AI and cancer research. Being knowledgeable about recent advancements can help you demonstrate your commitment to the field and your readiness to contribute to innovative projects.
✨Tip Number 4
Consider volunteering or participating in relevant workshops or seminars related to clinical data management or AI in healthcare. This hands-on experience can enhance your skills and make you a more attractive candidate for the Tissue Bank Data Officer position.
We think you need these skills to ace Tissue Bank Data Officer - PharosAI
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and requirements of the Tissue Bank Data Officer position. Highlight key skills and experiences that align with the role.
Tailor Your CV: Customise your CV to reflect your experience in clinical data management and any relevant knowledge of laboratory health and safety procedures. Use specific examples that demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for cancer research and AI-driven innovation. Mention how you can contribute to the PharosAI initiative and its mission.
Highlight Relevant Experience: In your application, emphasise any previous work within NHS or research settings. Discuss your familiarity with regulations like HTA and how your background prepares you for this unique opportunity.
How to prepare for a job interview at New Scientist
✨Understand the Project
Familiarise yourself with the PharosAI initiative and its goals. Knowing how AI is set to revolutionise cancer care will help you articulate your passion for the project and demonstrate your commitment to its mission.
✨Highlight Relevant Experience
Be prepared to discuss your experience in clinical data management, especially within NHS or research settings. Share specific examples of how you've implemented laboratory health and safety procedures to show your practical knowledge.
✨Showcase Your Collaborative Mindset
This role requires a team player. Be ready to provide examples of how you've successfully worked in interdisciplinary teams, highlighting your ability to communicate effectively and contribute to collective goals.
✨Express Your Passion for Cancer Research
Convey your enthusiasm for contributing to cutting-edge cancer research and AI-driven innovation. Discuss any relevant projects or experiences that showcase your dedication to making a difference in patient care and society.
