Data Scientist/Software Engineer (AI and Computer Vision)

YOU MAKE US MORE

Join Moorfields Eye Hospital NHS Foundation Trust

At Moorfields, people's sight matters—and so do the people who make it possible.

YOU MAKE US MORE

Join Moorfields Eye Hospital NHS Foundation Trust

At Moorfields, people's sight matters—and so do the people who make it possible.

For over 200 years, Moorfields has been at the forefront of ophthalmic care, research, and education. With more than 2,300 dedicated team members and over 700,000 patients seen annually across our City Road site and 22 networked sites, we are proud to be a global centre of excellence.

We're also a vibrant community where kindness, equity and excellence shape every aspect of our work. Whether it's pioneering research through our partnership with UCL Institute of Ophthalmology and Moorfields Biomedical Research Centre or training the next generation of global eye care leaders, we're united by one mission-delivering world-class eye health, sustainably and at scale.

And we're just getting started.

From 2027, we will move to our brand-new Oriel site in St Pancras, Camden—a state-of-the-art centre that will unite eye care, research, and education under one roof. This groundbreaking facility, developed in partnership with UCL Institute of Ophthalmology and Moorfields Eye Charity, will enable transformative innovation and collaboration like never before.

Could you be part of this future? Make us more.

Job Overview

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.

Main duties of the job

A key responsibility of the role is to develop a clear understanding of the data resources available from Moorfields’ clinical systems. Building on this knowledge, the post holder will work both independently and in close collaboration with the AI and Data Science team to design and implement machine learning tools capable of extracting clinically relevant features from ophthalmic imaging.

The role also involves contributing to the creation of web applications that will enable the deployment of clinical and imaging data analytics tools, supporting the wider ambition of learning healthcare system. Alongside this, the post holder will play an active role in the development, validation, and implementation of AI algorithms for ophthalmic image segmentation and analysis, ensuring these tools are robust and clinically meaningful.

Additional responsibilities include supporting the development of database management platforms for the Reading Centre, which will underpin effective data handling and accessibility. Finally, the post holder will contribute to advancing AI-driven diagnostic and prognostic models for eye diseases, helping to improve patient care and outcomes through innovative use of data science.

Working for our organisation

At Moorfields, we provide more than just an excellent career and great colleagues to work with. We also offer:

• Salary including High-Cost Area Supplement
• Opportunity to join the NHS Pension Scheme
• Free 24/7 independent counselling service
• Learning and development opportunities
• Easy and quick transport links
• A range of attractive benefits and discounts
• Access to Blue Light Card and other NHS Discount Schemes
• Free Pilates classes
• Full support and training to develop your skills
• Flexible working friendly organisation

And so much more! To see the full range of benefits we offer please see our Moorfields benefits document.

Detailed Job Description And Main Responsibilities

To independently provide all ophthalmic imaging interpretation, analysis, and modelling for both commercial and research-grade high resolution ophthalmic instruments, including highly specialised areas such as developing algorithms, analytics, adaptive optics scanning light ophthalmoscopes, optical coherence tomography devices, and digital based photography of both anterior and posterior segments to a high standard.

Responsible for complex analysis and designing algorithms for specialized ophthalmic imaging techniques including but not limited to neuro or adaptive optics imaging.

Responsible for programming, designs and development of an appropriate research methodology in order to address the research objective; compile and analyse quantitative and qualitative data, prepares reports and presents results to summarise main findings and conclusions.

Responsible for interpretation of large amount of data in conjunction with the research team, putting acquired information into context with other clinical tests.

Responsible for the transfer of clinical and technical information to PHD students regarding retinal and neuro-imaging, adaptive optics and angiography.

Develop and maintain an understanding of a range of specialised imaging procedures requiring expertise underpinned by theoretical knowledge.

Undertake manual activities involving patients and equipment.

Person specification

Education / Qualifications

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

Essential criteria

• Experience in Database management and knowledge of data management principles
• Experience in programming with pythonExperience 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.

Due to the nature of this position, employment is subject to proof of eligibility to work in the UK, completion of a satisfactory DBS disclosure and two references. We do not offer visa sponsorship for roles unless clearly stated in our adverts, so please consider this before applying.

Our commitment to equality, diversity and inclusion is at the heart of our organisational culture. As part of our pledge to take positive action in recruitment we encourage applications from under-representative candidates including BAME (Black, Asian, and Minority Ethnic) and Disabled candidates as we work towards a representative workforce that is able to provide the quality, the dignity and respect and to deliver above and beyond.

Moorfields is a flexible working friendly organisation, and we are committed to helping our employees achieve a work-life balance that is beneficial for health and wellbeing, motivation levels and job satisfaction. Every employee of the Trust has the right to request to work flexibly. Please speak to us about how we might be able to accommodate a flexible working arrangement. If it works for the service, we will do our best to make it work for you.

https://www.moorfields.nhs.uk/work-for-us

Employer certification / accreditation badges

Documents to download

• Job description (PDF, 704.3KB)
• JD+PS (PDF, 592.3KB)
• MEH Staff Benefits (PDF, 919.1KB)
• MEH Privacy Notice (PDF, 138.0KB)

Further details / informal visits contact

Name Dun Jack Fu Job title Clinical Lecturer Email address d.fu@nhs.net