Senior Research Fellow – Digital Pathology & Artificial Intelligence

Senior Research Fellow – Digital Pathology & Artificial Intelligence

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Drive innovative research in digital pathology and AI to transform healthcare.
  • Company: Join UCL, a world-leading research institution with a focus on digital health technologies.
  • Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
  • Other info: Collaborate with multidisciplinary teams and mentor junior researchers in a dynamic setting.
  • Why this job: Make a real impact in healthcare by advancing AI applications in digital pathology.
  • Qualifications: PhD in relevant fields and extensive postdoctoral research experience required.

The predicted salary is between 63000 - 77000 £ per year.

University College London (UCL) invites applications for the position of Senior Research Fellow in Digital Pathology and Artificial Intelligence. This role is based within a world-leading research environment focused on advancing computational medicine, digital health technologies, and AI-driven clinical innovation.

The successful candidate will contribute to cutting-edge research at the intersection of digital pathology, machine learning, and computational biomedical sciences. The role involves developing and applying advanced artificial intelligence methods to digital pathology data, including whole-slide imaging, computational image analysis, and multi-modal clinical data integration. The research aims to improve disease diagnosis, prognostic modelling, and precision medicine approaches.

The postholder will work closely with multidisciplinary teams of clinicians, data scientists, and biomedical researchers. Responsibilities include:

  • Designing and implementing AI algorithms
  • Managing and analysing large-scale pathological imaging datasets
  • Contributing to high-impact publications
  • Supporting grant applications
  • Collaborating on translational research projects
  • Mentoring junior researchers
  • Contributing to strategic research development within the department

This position offers the opportunity to be part of a highly collaborative and internationally recognised research ecosystem at UCL, with strong links to clinical partners and biomedical research institutions. The successful candidate will contribute to advancing AI applications in healthcare and driving innovation in digital pathology research.

Eligibility Criteria

  • PhD in Computer Science, Artificial Intelligence, Biomedical Engineering, Bioinformatics, Medical Imaging, or a related discipline
  • Extensive postdoctoral research experience relevant to digital pathology, computational imaging, or AI in healthcare
  • Strong publication record in peer-reviewed journals in relevant fields
  • Demonstrated experience in leading or contributing to advanced research projects
  • Experience appropriate to a senior research or leadership-level research role
  • Strong evidence of interdisciplinary research collaboration, particularly with clinical or biomedical partners
  • Ability to contribute to research strategy and funding applications

Required Expertise/Skills

  • Expertise in machine learning and artificial intelligence methodologies
  • Strong background in digital pathology, medical imaging, or computational image analysis
  • Proficiency in programming languages such as Python, R, or equivalent scientific computing tools
  • Experience with deep learning frameworks and large-scale data analysis
  • Knowledge of whole-slide imaging and computational pathology workflows
  • Strong statistical analysis and data modelling skills
  • Ability to manage and interpret complex biomedical datasets
  • Excellent scientific writing and communication skills
  • Experience in securing or contributing to research funding proposals
  • Ability to collaborate effectively in multidisciplinary clinical and research teams
  • Leadership and mentoring capabilities for junior researchers

Salary Details

Salary will be aligned with UCL Senior Research Fellow pay scales and will depend on qualifications, experience, and academic track record.

Application Deadline

Not specified in the provided listing; applications will be reviewed according to UCL recruitment timelines and departmental requirements.

Senior Research Fellow – Digital Pathology & Artificial Intelligence employer: RFCSR

At King’s College London, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our interdisciplinary approach not only encourages professional growth through diverse research opportunities but also allows you to make a meaningful impact in the fields of engineering and biomedical research. Located in the vibrant city of London, our institution offers a dynamic environment where creativity thrives and employees are supported in their career development.

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Contact Details:

RFCSR Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Research Fellow – Digital Pathology & Artificial Intelligence

Get Involved in Research Communities

Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!

Show Off Your Research Projects

Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at RFCSR, you can point them to your projects and publications, showcasing your expertise directly.

Utilise Professional Networks

Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.

Keep Your Eyes on Openings & Apply Directly

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We think you need these skills to ace Senior Research Fellow – Digital Pathology & Artificial Intelligence

Machine Learning
Artificial Intelligence
Digital Pathology
Computational Imaging
Programming in Python
Programming in R
Deep Learning Frameworks

Some tips for your application 🫡

Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!

Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at RFCSR. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.

Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.

Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at RFCSR. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!

How to prepare for a job interview at RFCSR

Showcase Your Research Skills

In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.

Prepare for Technical Questions

Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at RFCSR. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.

Know Your Publications

If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.

Exhibit Your Team Spirit

In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at RFCSR to drive research projects forward.