At a Glance
- Tasks: Lead innovative research in digital pathology and AI to improve cancer patient care.
- Company: UCL Cancer Institute, a top-tier cancer research hub at University College London.
- Benefits: 41 days holiday, pension scheme, on-site gym, and employee support services.
- Other info: Collaborative environment with opportunities for career growth and funding.
- Why this job: Make a real impact in cancer research using cutting-edge technology and data.
- Qualifications: PhD with postdoctoral experience in digital pathology or AI, and strong publication record.
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 draws together over 400 talented scientists who are working together to translate research discoveries into developing more effective therapies for cancer patients. This work is facilitated by extensive collaborations with our partner hospital UCLH, supported by the UCLH Biomedical Research Centre. As part of the CRUK City of London Centre, scientists at the Cancer Institute have access to cutting‑edge research facilities and clinical and non‑clinical graduate programmes.
Within the Cancer Institute, researchers in the Department of Cancer Biology and Pathology seek to identify and understand the molecular mechanisms and disease processes that underlie cancer development and treatment. Our research is facilitated by expertise in genomics, cell biology and digital medicine and by close collaborations between clinical and non‑clinical colleagues. Further information about the department and the UCL Cancer Institute can be found on our website here.
About the role: The UCL Cancer Institute—one of the world’s leading cancer research centres—is seeking an exceptional Senior Research Fellow to lead innovative work at the intersection of digital pathology, AI, and real‑world clinical data. This is a unique opportunity 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. Working within a highly collaborative environment—including partnership with UCL Hospital - you will drive cutting‑edge research that translates data into real clinical impact.
- Develop an independent research programme applying machine learning to pathology & 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: Prospective candidates must have:
- PhD + postdoctoral experience in digital pathology / AI / computational biology
- Expertise in digital pathology, machine learning and healthcare data
- Publication record and ready to lead your own independent research
- Excellent written and oral communication skills (fluent in spoken and written English)
- The highest ethical and professional standards in research and education.
What we offer: As well as the exciting opportunities this role presents we also offer some great benefits:
- 41 Days holiday (including 27 days annual leave, 8 bank holidays and 6 closure days)
- Defined benefit career average revalued earnings pension scheme (CARE)
- Cycle to work scheme and season ticket loan
- On‑site gym
- Enhanced maternity, paternity and adoption pay
- Employee assistance programme: Staff Support Service
Our commitment to Equality, Diversity and Inclusion: As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.
Senior Research Fellow – Digital Pathology & AI employer: UK Dementia Research Institute
The UCL Cancer Institute offers an exceptional work environment for those passionate about advancing cancer research through digital pathology and AI. With access to cutting-edge facilities, extensive collaboration with clinical partners, and a commitment to employee growth, this role provides a unique opportunity to make a significant impact in patient care while enjoying generous benefits such as 41 days of holiday and a supportive workplace culture that values diversity and inclusion.
Contact Details:
UK Dementia Research Institute Recruitment Team
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 your connections in the field of digital pathology and AI. Attend relevant conferences or webinars, and don’t be shy about introducing yourself to potential collaborators or mentors. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your expertise! Prepare a portfolio showcasing your research, publications, and any projects related to machine learning and digital pathology. This will not only highlight your skills but also demonstrate your passion for the field when you meet potential employers.
✨Tip Number 3
Practice your pitch! Be ready to discuss your research ideas and how they can impact cancer biology and patient care. A clear and confident presentation of your vision can set you apart from other candidates during interviews.
✨Tip Number 4
Apply through our website! We at StudySmarter encourage you to submit your application directly on our platform. It’s a great way to ensure your CV and cover letter get the attention they deserve, plus you’ll be part of a community that values innovation and collaboration.
We think you need these skills to ace Senior Research Fellow – Digital Pathology & AI
Some tips for your application 🫡
Tailor Your Cover Letter:Make sure to customise your cover letter for this role. Highlight your experience in digital pathology and AI, and how it aligns with the research goals at UCL Cancer Institute. We want to see your passion and how you can contribute to our innovative work!
Showcase Your Publications:Don’t forget to mention your publication record! This is a key part of your application. We’re looking for candidates who are ready to lead their own independent research, so make sure to highlight any relevant papers or projects you've worked on.
Evidence Your Skills:In your cover letter, be sure to address the essential and desirable criteria from the job description. We want to see clear examples of your expertise in machine learning and healthcare data, so don’t hold back on showcasing your skills!
Apply Through Our Website:Remember to submit your application through our website! It’s the best way to ensure your application gets to us directly. Plus, it makes the process smoother for everyone involved. We can’t wait to hear from you!
How to prepare for a job interview at UK Dementia Research Institute
✨Know Your Research Inside Out
Before the interview, dive deep into your own research and be ready to discuss it in detail. Understand how your work in digital pathology and AI aligns with the goals of the UCL Cancer Institute. This will show your passion and commitment to the role.
✨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 to drive research forward, as this will demonstrate your ability to thrive in a collaborative environment.
✨Prepare for Technical Questions
Expect questions about machine learning techniques and their application in healthcare. Brush up on relevant algorithms and case studies that showcase your expertise. Being able to articulate complex concepts clearly will impress your interviewers.
✨Craft a Compelling Cover Letter
Your cover letter is your chance to shine! Make sure it clearly addresses the essential and desirable criteria outlined in the job description. Use specific examples from your experience to illustrate how you meet these criteria, making it easy for them to see why you’re the perfect fit.
