Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of an AI platform for cancer care and research.
- Company: Join Queen Mary University of London in a revolutionary cancer initiative.
- Benefits: Enjoy flexible working arrangements and comprehensive staff benefits.
- Why this job: Make a real impact on cancer treatment and patient care through innovative AI solutions.
- Qualifications: PhD in a relevant field with expertise in machine learning and database design required.
- Other info: Be part of a diverse, interdisciplinary team dedicated to transforming cancer care.
The predicted salary is between 43200 - 72000 £ 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 a PhD in a relevant discipline (e.g. Computer / Data Science). With an enviable track record of relational database design and implementation (you will be responsible for building a health informatics/bioinformatics platform) alongside proficiency in machine learning and AI, your experiences 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.
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
Lead Bioinformatician - PharosAI employer: New Scientist
Contact Detail:
New Scientist Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Bioinformatician - 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 bioinformatics and AI fields, especially those connected to cancer research. Engaging with current employees or collaborators can provide insights into the team culture and expectations, which can be invaluable when preparing for interviews.
✨Tip Number 3
Stay updated on the latest advancements in AI and machine learning as they pertain to healthcare. Being knowledgeable about recent breakthroughs can demonstrate your commitment to the field and your readiness to contribute to innovative projects like PharosAI.
✨Tip Number 4
Prepare to discuss your experience with relational database design and implementation in detail. Be ready to share specific examples of how your skills can directly benefit the development of the health informatics/bioinformatics platform that PharosAI aims to build.
We think you need these skills to ace Lead Bioinformatician - PharosAI
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and requirements of the Lead Bioinformatician position. Highlight your relevant experience in bioinformatics, machine learning, and database design.
Tailor Your CV: Customise your CV to reflect your qualifications and experiences that align with the role. Emphasise your PhD, any relevant projects, and your track record in relational database design and implementation.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for cancer research and AI innovation. Discuss how your skills can contribute to the PharosAI initiative and mention your commitment to collaborative work and excellence in research.
Prepare for Specific Questions: Be ready to answer specific questions as part of the application process. Think about how your background and experiences relate to the goals of the PharosAI project and prepare examples that demonstrate your expertise.
How to prepare for a job interview at New Scientist
✨Showcase Your Technical Expertise
Make sure to highlight your PhD and any relevant experience in relational database design, machine learning, and AI. Be prepared to discuss specific projects or challenges you've tackled in these areas, as this will demonstrate your capability to contribute to the PharosAI initiative.
✨Demonstrate Passion for Cancer Research
Express your enthusiasm for cutting-edge cancer research and how it aligns with your career goals. Share any personal experiences or motivations that drive your interest in this field, as this can resonate well with the interviewers who are looking for candidates committed to making a difference.
✨Prepare for Collaborative Scenarios
Since the role involves working within an interdisciplinary team, be ready to discuss examples of successful collaboration from your past experiences. Highlight how you’ve worked with diverse teams and how you approach problem-solving in a group setting.
✨Understand the Project's Vision
Familiarise yourself with the PharosAI initiative and its goals. Being able to articulate how your skills and experiences align with the mission of revolutionising cancer care through AI will show that you are not just looking for a job, but are genuinely interested in contributing to this important work.
