Senior Research Fellow: Digital Pathology & AI Innovation

Senior Research Fellow: Digital Pathology & AI Innovation

Full-Time 45000 - 55000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead teams in developing AI algorithms for digital pathology and manage large biomedical datasets.
  • Company: Join University College London, a leader in research and innovation.
  • Benefits: Competitive salary, access to cutting-edge resources, and opportunities for professional growth.
  • Other info: Collaborative environment with opportunities to mentor and publish high-impact research.
  • Why this job: Make a real impact in healthcare by advancing AI-driven clinical innovations.
  • Qualifications: Experience in AI, digital pathology, and strong leadership skills.

The predicted salary is between 45000 - 55000 £ per year.

University College London (UCL) invites applications for a Senior Research Fellow in Digital Pathology and Artificial Intelligence.

The role advances AI-driven clinical innovation with digital pathology, whole-slide imaging, and multi-modal data integration.

The successful candidate will lead multidisciplinary teams, design and implement AI algorithms, manage large biomedical imaging datasets, publish high-impact work, supporting grant applications, and mentoring junior researchers.

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Senior Research Fellow: Digital Pathology & AI Innovation 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

We think you need these skills to ace Senior Research Fellow: Digital Pathology & AI Innovation

AI Algorithm Design
Digital Pathology
Whole-Slide Imaging
Multi-Modal Data Integration
Biomedical Imaging
Team Leadership
Project Management