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 research using cutting-edge technology and data.
- Qualifications: PhD and postdoctoral experience in digital pathology or AI required.
The predicted salary is between 45000 - 60000 £ 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.
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.
- 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
Work at UCL – a world‑class institution offering a supportive and inclusive research environment.
Further details about the department and the UCL Cancer Institute can be found on our website.
Senior Research Fellow - Digital Pathology & AI employer: UCL
The UCL Cancer Institute offers an exceptional work environment for those passionate about advancing cancer research through digital pathology and AI. With a strong emphasis on collaboration, employee growth, and impactful research, you will have the opportunity to lead innovative projects that directly contribute to patient care while being part of a world-class institution renowned for its supportive and inclusive culture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Fellow - Digital Pathology & AI
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those at UCL or in digital pathology and AI. Attend conferences, webinars, or local meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your expertise! Prepare a portfolio or presentation that highlights your research and projects related to digital pathology and machine learning. This can be a great conversation starter during interviews or networking events.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your answers and boost your confidence. Focus on articulating how your skills align with the role of Senior Research Fellow.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of the UCL Cancer Institute team.
We think you need these skills to ace Senior Research Fellow - Digital Pathology & AI
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 role, especially in digital pathology and AI. We want to see your passion for cancer research and how you can contribute to our team.
Tailor Your CV:Don’t just send a generic CV! Tailor it to showcase your relevant skills and experiences that match the job description. We’re looking for specific examples of your work in machine learning and healthcare data, so make them stand out!
Evidence Your Skills:In your application, be sure to provide concrete evidence of how you meet the essential and desirable criteria listed in the person specification. We love seeing real examples of your achievements and how they relate to the role.
Apply Through Our Website:Make sure to submit your application through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss any important updates. We can’t wait to see what you bring to the table!
How to prepare for a job interview at UCL
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and how it relates to digital pathology and AI. Be ready to discuss your previous work, publications, and how they can contribute to the role at the UCL Cancer Institute.
✨Showcase Collaboration Skills
Since this role involves working closely with clinicians and data scientists, prepare examples of past collaborations. Highlight how you’ve successfully worked in teams and translated complex data into actionable insights.
✨Prepare for Technical Questions
Expect questions about machine learning techniques and their application in healthcare. Brush up on relevant algorithms and be ready to discuss how you would apply them to real-world clinical data.
✨Tailor Your Cover Letter
Your cover letter should clearly address the essential and desirable criteria mentioned in the job description. Use specific examples from your experience to demonstrate how you meet these criteria and why you’re a great fit for the role.
