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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 passionate professionals in a cutting-edge field.
- 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 visionary project aimed at democratising access to AI in healthcare.
The predicted salary is between 28800 - 48000 £ per year.
Transforming Cancer Care with AI
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.
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.
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.
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 any discussions or interviews.
✨Tip Number 2
Network with professionals in the field of clinical data management and AI in healthcare. Attend relevant conferences or webinars, and connect with individuals on platforms like LinkedIn to gain insights and potentially get referrals.
✨Tip Number 3
Stay updated on the latest trends and regulations in clinical data management and AI applications in healthcare. This knowledge will not only enhance your understanding but also demonstrate your commitment to the field during conversations with the hiring team.
✨Tip Number 4
Prepare thoughtful questions about the role and the PharosAI project to ask during interviews. This shows your genuine interest and helps you assess if the position aligns with your career goals and values.
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 showcases your passion for cancer research and AI-driven innovation. Explain why you are interested in the PharosAI initiative and how your background makes you a suitable candidate.
Highlight Relevant Qualifications: Ensure you mention your BSc or equivalent in a biological science or allied health field, along with any familiarity with regulations like HTA. This will help demonstrate your qualifications for the role.
How to prepare for a job interview at New Scientist
✨Show Your Passion for Cancer Research
Make sure to express your enthusiasm for contributing to cancer research and AI-driven innovation. Share any relevant experiences or projects that highlight your commitment to this field, as it will resonate well with the interviewers.
✨Demonstrate Your Technical Knowledge
Be prepared to discuss your experience in clinical data management and your understanding of laboratory health and safety procedures. Familiarise yourself with relevant regulations, such as HTA, and be ready to explain how you have applied this knowledge in previous roles.
✨Highlight Collaborative Experiences
Since the role involves working within an interdisciplinary team, share examples of how you've successfully collaborated with others in past projects. Emphasise your ability to work well in a team and contribute to a shared mission.
✨Research the PharosAI Initiative
Before the interview, take some time to learn about the PharosAI initiative and its goals. Understanding the project's vision will allow you to ask insightful questions and demonstrate your genuine interest in being part of this groundbreaking programme.
