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- Tasks: Lead quality assurance for an innovative AI cancer care project.
- Company: Join Queen Mary University of London's PharosAI initiative, transforming cancer treatment with cutting-edge technology.
- 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 a passionate, interdisciplinary team.
- Qualifications: Experience in quality assurance management and knowledge of NHS research governance required.
- Other info: Opportunity to contribute to groundbreaking AI-driven healthcare solutions.
The predicted salary is between 43200 - 72000 £ 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 a demonstrable background in quality assurance management and significant knowledge of both NHS research governance and quality system management. You will have developed SOPs (or similar) and be familiar with relevant regulations and requirements including GCP, HTA and GDPR.
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.
*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
Quality Assurance Manager - PharosAI employer: New Scientist
Contact Detail:
New Scientist Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quality Assurance Manager - 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 and how your background aligns with their objectives during any discussions.
✨Tip Number 2
Network with professionals in the field of quality assurance and cancer research. Attend relevant conferences or webinars where you can meet people involved in similar projects, as personal connections can often lead to job opportunities.
✨Tip Number 3
Stay updated on the latest regulations and standards related to quality assurance in healthcare, such as GCP, HTA, and GDPR. Being knowledgeable about these will not only boost your confidence but also demonstrate your commitment to compliance and excellence in research.
✨Tip Number 4
Prepare to discuss your experience in developing SOPs and managing quality systems. Be ready to provide specific examples of how you've implemented these processes in previous roles, as this will showcase your expertise and suitability for the Quality Assurance Manager position.
We think you need these skills to ace Quality Assurance Manager - PharosAI
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and requirements of the Quality Assurance Manager position. Highlight your relevant experience in quality assurance management and knowledge of NHS research governance.
Tailor Your CV: Customise your CV to reflect your experience with developing SOPs, understanding GCP, HTA, and GDPR regulations. Use specific examples that demonstrate your expertise in quality system management.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for cancer research and AI-driven innovation. Explain how your background aligns with the mission of PharosAI and why you are excited about contributing to this project.
Prepare for Application Questions: Be ready to answer specific questions during the application process. Think about how your skills and experiences relate to the role and prepare concise, thoughtful responses that highlight your qualifications.
How to prepare for a job interview at New Scientist
✨Understand the Project's Mission
Familiarise yourself with the PharosAI initiative and its goals. Be prepared to discuss how your experience in quality assurance can contribute to revolutionising cancer care through AI.
✨Showcase Relevant Experience
Highlight your background in quality assurance management, especially any experience with NHS research governance and quality system management. Be ready to provide examples of SOPs you've developed and how they align with GCP, HTA, and GDPR regulations.
✨Demonstrate Passion for Cancer Research
Express your enthusiasm for contributing to cutting-edge cancer research and AI-driven innovation. Share any personal experiences or motivations that drive your commitment to improving patient care and outcomes.
✨Prepare for Collaborative Questions
Since the role involves working within an interdisciplinary team, be prepared to discuss your collaborative mindset. Think of examples where you successfully worked with diverse teams and how you contributed to achieving common goals.
