Data Scientist/Software Engineer (AI and Computer Vision)
At a glance
- Band
- Band 7
- Contract
- Fixed-term
- Pattern
- Full-time
- Posted
- 16/09/2026
- Closes
- 23/09/2026
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Role summary
This role involves developing a deep understanding of clinical data resources at Moorfields and collaborating with the AI and Data Science team to design and implement machine learning tools for extracting clinically relevant features from ophthalmic imaging. The post holder will contribute to creating web applications for clinical and imaging data analytics, supporting a 'learning healthcare system'. Key responsibilities include developing, validating, and implementing AI algorithms for ophthalmic image segmentation and analysis, and supporting database management for the Reading Centre. The role aims to advance AI-driven diagnostic and prognostic models for eye diseases to improve patient care.
Essential criteria
- MSc or PhD in Data Science/Computer Science
- Educated to degree level in Data Science/Computer Science
- Expertise in insight-generation from large datasets
- Knowledge & Experience
- Experience in Database management and knowledge of data management principles
- Experience in programming with python
- Experience of using SQL Databases
- Experience with image processing and computer vision (opencv)
- Experience with machine learning (tensorflow/pytorch/keras)
- Experience with web technologies (javascript).
- Experience in analysing clinical data and knowledge of healthcare interoperability standards (including HL7 FHIR)
Desirable criteria
- Experience in analysing ophthalmic imaging data
- Experience in working with Business Insight tools or similar environments.
- Education / Qualifications
- MSc or PhD in Data Science/Computer Science
- Educated to degree level in Data Science/Computer Science
- Expertise in insight-generation from large datasets
- Knowledge & Experience
- Experience in Database management and knowledge of data management principles
- Experience in programming with python
- Experience of using SQL Databases
- Experience with image processing and computer vision (opencv)
- Experience with machine learning (tensorflow/pytorch/keras)
- Experience with web technologies (javascript).
- Experience in analysing clinical data and knowledge of healthcare interoperability standards (including HL7 FHIR)
- Experience in analysing ophthalmic imaging data
- Experience in working with Business Insight tools or similar environments.
Useful to know
Agenda for Change 2024/25 pays Band 7 at £46,148 – £52,809 a year, across England.
This advert: £58,133 – £65,261 — outside the standard scale; check for HCAS/London weighting.
Posted 1d ago · Closes in 7d
Plenty of time to prepare a strong application.
Full advert · preview
Moorfields Eye Hospital NHS Foundation Trust
Data Scientist/Software Engineer (AI and Computer Vision)
The closing date is 23 September 2026
Job summary
Previous applicants need not apply
The NIHR Clinical Research Facility (CRF) at Moorfields Eye Hospital, London has recently been awarded funding from the National Institute for Health Research (NIHR) to optimise the delivery of world class research in ophthalmology and science associated with vision and sight.
The Facility forms part of the Moorfields NIHR Biomedical Research Centre for Ophthalmology, a joint initiative between Moorfields Eye Hospital and University College London Institute of Ophthalmology and is one of three London based Academic Health Science centres which together form the University College London Partners.
The CRF is dedicated to the delivery of high quality clinical research, including experimental medicine and translational research studies, pioneering new therapies for the treatment of a range of ophthalmic disorders. It offers a clinical environment in which patients and researchers are supported by a team of specialist research support staff including ophthalmic research nurses, administrators and technicians.
Part Time or Full time will be considered.
**Please note: We reserve the right to close this vacancy early if we receive a high volume of applications. We therefore encourage
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