Senior Research Fellow: Digital Pathology & AI Innovation

RFCSR; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

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.

Qualifications

• PhD in a relevant field (e.g., CS, AI, Biomedical Engineering, Bioinformatics, Medical Imaging).
• Extensive postdoctoral research experience in digital pathology, computational imaging, or AI in healthcare.
• Strong publication record in peer-reviewed journals in relevant fields.
• Demonstrated experience leading or contributing to advanced research projects.
• Experience appropriate to a senior research or leadership-level role.
• Strong evidence of interdisciplinary research collaboration with clinical or biomedical partners.

Responsibilities

• Design and implement AI algorithms for digital pathology applications.
• Manage and analyze large-scale pathological imaging datasets.
• Publish high-impact research and support grant applications.
• Collaborate with clinicians, data scientists and biomedical researchers.
• Mentor junior researchers and contribute to strategic research development.

Skills

Machine learning

AI methodologies

Digital pathology

Computational image analysis

Python

R

Deep learning

Whole-slide imaging

Data modelling

Interdisciplinary collaboration

Leadership mentoring

Education

PhD in Computer Science / AI / Biomedical Engineering / Bioinformatics / Medical Imaging

Tools

Python

R

Job description

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.