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- Tasks: Lead a team in developing AI solutions for cancer care and research.
- Company: Join Queen Mary University of London's innovative PharosAI initiative.
- Benefits: Enjoy flexible working, inclusive policies, and comprehensive staff benefits.
- Why this job: Make a real impact on cancer treatment and patient care through cutting-edge technology.
- Qualifications: Postgraduate degree and PhD in a related field with experience in genomics and machine learning.
- Other info: Be part of a diverse team committed to transforming cancer research.
The predicted salary is between 43200 - 72000 £ per year.
About the RoleAbout 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 InstituteThe 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 trainingAbout Queen MaryWe 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 20/07/2025, 23:55
Data Science Lead - Pharos AI employer: New Scientist
Contact Detail:
New Scientist Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Lead - Pharos AI
✨Tip Number 1
Familiarise yourself with the PharosAI initiative and its goals. Understanding the mission behind the project will not only help you align your passion for cancer research with their objectives but also allow you to articulate how your skills can contribute to their vision during discussions.
✨Tip Number 2
Network with professionals in the field of AI and cancer research. Attend relevant conferences, webinars, or workshops where you can meet current employees or collaborators of the PharosAI project. Building these connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Stay updated on the latest advancements in AI applications within healthcare, particularly in oncology. Being knowledgeable about recent breakthroughs and technologies will demonstrate your commitment to the field and your readiness to contribute to innovative solutions.
✨Tip Number 4
Prepare to discuss your experience with machine learning and deep learning frameworks in detail. Be ready to share specific examples of projects you've worked on, especially those involving genomics, EHRs, or medical imaging, as this will showcase your technical expertise and relevance to the role.
We think you need these skills to ace Data Science Lead - Pharos AI
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Data Science Lead position. Familiarise yourself with the PharosAI initiative and its goals, as well as the specific qualifications and experiences required.
Tailor Your CV: Customise your CV to highlight relevant experience in genomics, EHRs, medical imaging, and machine learning. Emphasise your postgraduate degree and PhD, along with any notable projects or achievements that align with the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for cancer research and AI innovation. Discuss how your background and skills make you a perfect fit for the team and the mission of PharosAI.
Prepare for Specific Questions: Be ready to answer specific questions during the application process. Think about how your experiences relate to the role and prepare examples that demonstrate your technical expertise and collaborative mindset.
How to prepare for a job interview at New Scientist
✨Showcase Your Technical Expertise
Make sure to highlight your postgraduate degree and PhD, along with your experience in genomics, EHRs, and medical imaging. Be prepared to discuss specific projects where you've applied machine learning and deep learning frameworks.
✨Demonstrate Your 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 interest in this field, as it will resonate well with the interviewers.
✨Prepare for Collaborative Scenarios
Since the role involves working in an interdisciplinary team, be ready to discuss examples of how you've successfully collaborated with others in past projects. Highlight your ability to communicate complex ideas clearly and work towards common goals.
✨Understand the Mission of PharosAI
Familiarise yourself with the PharosAI initiative and its goals. Being able to articulate how your skills and experiences align with their mission to revolutionise AI-powered cancer care will demonstrate your commitment and fit for the role.
