At a Glance
- Tasks: Lead innovative research in digital pathology and AI to improve cancer patient care.
- Company: UCL Cancer Institute, a leading hub for cancer research at University College London.
- Benefits: Supportive environment, collaboration with NHS, and opportunities for impactful research.
- Other info: 18-month position with potential for extension; excellent career growth opportunities.
- Why this job: Make a real difference in cancer biology using cutting-edge technology and data.
- Qualifications: PhD and postdoctoral experience in digital pathology or AI required.
The predicted salary is between 55000 - 65000 £ per year.
The UCL Cancer Institute is the hub for cancer research at University College London, one of the world’s leading universities. The Institute brings together more than 400 scientists who translate research discoveries into therapies for cancer patients, facilitated by extensive collaboration with our partner hospital UCLH and the UCLH Biomedical Research Centre. Within the Department of Cancer Biology and Pathology, researchers investigate the molecular mechanisms and disease processes underlying cancer development and treatment. Our expertise spans genomics, cell biology, digital medicine, and close collaboration between clinical and non‑clinical colleagues.
About the role
We are seeking an exceptional Senior Research Fellow to lead innovative work at the intersection of digital pathology, artificial intelligence, and real‑world clinical data. This unique opportunity allows you to develop an independent research programme focused on applying machine learning to digital pathology data and integrating it with electronic health records to drive new insights in cancer biology and patient care. You will work within a highly collaborative environment – including partnership with UCL Hospital – to translate data into real clinical impact.
Role highlights:
- Develop an independent research programme applying machine learning to pathology and EHR data
- Work with large‑scale clinical datasets to drive translational cancer research
- Collaborate with clinicians, data scientists, and NHS partners
- Publish high‑impact research and secure external funding
Applications should include a CV and a Cover Letter: In the Cover Letter please evidence the essential and desirable criteria in the Person Specification part of the Job Description. The position is for 18 months in the first instance, with the possibility of extension subject to funding.
About you:
- PhD + postdoctoral experience in digital pathology / AI / computational biology
- Expertise in digital pathology, machine learning and healthcare data
- Publication record and the capability to lead an independent research programme
- Excellent written and oral communication skills (fluent in spoken and written English)
- The highest ethical and professional standards in research and education
Reward and Benefits:
Work at UCL – a world‑class institution offering a supportive and inclusive research environment.
Senior Research Fellow - Digital Pathology & AI in London employer: UCL
The UCL Cancer Institute offers an exceptional work environment for those passionate about advancing cancer research through digital pathology and AI. As part of a world-class institution, employees benefit from a collaborative culture that fosters innovation, extensive professional development opportunities, and the chance to make a tangible impact on patient care. With access to cutting-edge resources and a supportive network of experts, this role is ideal for individuals seeking meaningful and rewarding employment in a leading research setting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Fellow - Digital Pathology & AI in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at UCL Cancer Institute on LinkedIn. A friendly chat can give us insider info and maybe even a referral.
✨Tip Number 2
Prepare for the interview by diving deep into their recent publications. Knowing their work inside out shows us that you're genuinely interested and ready to contribute.
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience in digital pathology and AI aligns with their goals. We want to hear how you can make an impact right from the start.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining the team.
We think you need these skills to ace Senior Research Fellow - Digital Pathology & AI in London
Some tips for your application 🫡
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Make sure to highlight how your experience aligns with the essential and desirable criteria mentioned in the job description. We want to see your passion for digital pathology and AI, so don’t hold back!
Tailor Your CV:When applying, ensure your CV reflects your relevant experience in digital pathology, machine learning, and healthcare data. We’re looking for specific examples of your work that demonstrate your ability to lead an independent research programme.
Showcase Your Collaboration Skills:Since this role involves working closely with clinicians and data scientists, it’s important to mention any collaborative projects you’ve been part of. We love seeing how you’ve worked in teams to drive impactful research!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way to ensure we receive all your materials correctly. Plus, it shows you’re keen on joining our community at UCL Cancer Institute!
How to prepare for a job interview at UCL
✨Know Your Stuff
Make sure you’re well-versed in digital pathology, AI, and computational biology. Brush up on recent advancements in these fields and be ready to discuss how they relate to cancer research. This shows your passion and expertise!
✨Showcase Your Research
Prepare to talk about your previous research projects and publications. Highlight any experience with machine learning and large-scale clinical datasets. Be specific about your contributions and the impact of your work.
✨Collaboration is Key
Since this role involves working closely with clinicians and data scientists, be ready to discuss your collaborative experiences. Share examples of how you’ve successfully worked in a team to drive research outcomes.
✨Tailor Your Cover Letter
Your cover letter should directly address the essential and desirable criteria mentioned in the job description. Use it as an opportunity to demonstrate how your skills and experiences align perfectly with what they’re looking for.
