Research Fellow in Clinical Imaging & Phenotyping

About us

UCL Institute of Ophthalmology conducts cutting-edge research, attracting principal investigators, post-doctoral fellows and MD/PhD students of the highest international calibre to a stimulating research environment. The Institute is committed to a multi-disciplinary research portfolio that furthers an understanding of the eye and visual system linked with clinical investigations targeted to specific problems in the prevention and treatment of eye disease.

The post holder will join a translational clinical research project at the UCL Institute of Ophthalmology and Moorfields Eye Hospital (MEH), focused on the acquisition and analysis of advanced anterior segment imaging data to support early detection and phenotyping of Fuchs endothelial corneal dystrophy. The role sits within a multidisciplinary team spanning clinical, imaging and computational expertise. The project is funded by Fight for Sight.

About the role

The post holder will work collaboratively with teams at Moorfields Eye Hospital and UCL to establish a deeply phenotyped cohort of patients with FECD and to generate a high-quality multimodal imaging dataset to support clinical and computational research. The role involves identifying and recruiting participants across the spectrum of disease in partnership with research coordinators and organising and conducting research visits that include comprehensive clinical phenotyping. Responsibilities include obtaining detailed medical and ophthalmic histories, assessing visual function through best-corrected visual acuity and contrast sensitivity testing, and acquiring multimodal imaging such as slit-lamp photography, specular microscopy, Scheimpflug tomography, and in vivo confocal microscopy.

The post holder will contribute to the development and refinement of study protocols and standard operating procedures and will ensure that all clinical and imaging data are exported, organised, and curated to research-ready standards. This includes identifying, annotating, and mapping pathological features across multimodal imaging datasets and working closely with computational researchers to support the development of artificial intelligence–based approaches for disease detection and phenotyping. The role also requires providing clinical interpretation and domain expertise to multidisciplinary collaborators and stakeholders.

The post is available from 01/04/2026 and is funded until 31/03/2027

Appointment will be on Grade 7, Point 31 (pro rata of £45,103, inclusive of London Allowance.)

About you

The successful candidate will have a BSc in a relevant subject, with clinical experience in ophthalmology or optometry and experience in clinical ophthalmoc assessment.

Candidates must have experience with anterior segment imaging modalities, managing patients with corneal diseases, and ophthalmic image analysis. They should demonstrate excellent organisational skills, with the ability to prioritise tasks, manage a variable workload, meet strict deadlines, and work independently for the majority of the time.

Applicants should have a basic understanding of statistical analysis methods, experience with image annotation or structured data curation, and familiarity with research databases and secure data handling.

An interest in artificial intelligence, image analysis, or computational approaches to clinical research is essential

Application Process

If you have any queries regarding the vacancy please contact Dr Siyin Liu (siyin.liu@ucl.ac.uk)

If you have any queries regarding the application process please email: ioo.hr@ucl.ac.uk.

Please ensure you attach your CV and highest academic qualification. In addition, please ensure you provide a personal statement outlining how you meet the criteria to support your application. Please DO NOT attach research papers.

Customer advert reference: B02-10234

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