Data Scientist / Software Engineer

The Moorfields Electrophysiology Department plays a central role in both research and clinical activity. The Department performs a number of different electrodiagnostic tests on patients, including Electroretinograms (ERGs). ERGs record the electrical signals produced by the retina in response to light stimuli and are used routinely to objectively assess and monitor retinal function in a wide range of inherited and acquired retinal disorders. ERGs are notoriously difficult to interpret, thus far eluding routine automated analysis and requiring experienced scientists/clinicians for accurate evaluation. Advances in clinically applicable artificial intelligence (AI) and digital access to medical databases offer the possibly of using AI and in particular Machine Learning (ML) for ERG interpretation.
The Department has already initiated ML analysis of ERG data, involving a multidisciplinary team and collaboration with University College London (UCL). The present part-time role will extend research work in this field, involving extraction and interrogation of ERG legacy data, and determine the potential value and applicability of AI to ERG interpretation and examine the possibility of providing new diagnostic insights., The successful applicant will work in collaboration with Moorfields and UCL collaborators to develop novel automated analyses of a large and detailed clinical ERG dataset. They will have the task to generate an AI tool capable of automated bulk extraction and ML interrogation of ERG data. They will also develop an AI-based decision support tool using algorithms with embedded safety features, for diagnostic and deep phenotyping purposes, using supervised and unsupervised AI methods. The project is expected to lead to the development of a prototype for future research and real-life clinical applications., Contribute to the development of webapps for deployment of clinical and imaging data analytics tools to support a 'learning healthcare system'.
- Contribute to the development, validation, and implementation of AI algorithms for ERG analysis.
- Contribute to the development of a database management platform for the Electrophysiology Department.
- Contribute to the development of AI diagnostic and prognostic models for common and rare retino-choroidal disease.
- Have working experience in python (numpy), image processing and computer vision (opencv), machine learning (tensorflow/pytorch/keras), and web technologies (javascript).
- Have working experience of database management (e.g. with SQL).
Professional Requirements:
- Demonstrate a high level of accountability for professional actions and decision making
- Take part in annual performance appraisal
- Undertake any training required in order to maintain competency including mandatory training
- Contribute to and work within a safe working environment
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-represented 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.
If we receive sufficient applications, we will close this ad prior to the closing date. You are advised not to delay submitting your completed application.
If you would like to discuss any reasonable adjustments before applying or would like an accessible version of any recruitment documents, please contact the recruitment team at [email protected].

We are Moorfields Eye Hospital NHS Foundation Trust. Founded in 1804, Moorfields Eye Hospital is a world-class centre of excellence for eye health services, ophthalmic research, and education.
With more than 2,300 staff we are proud to be supported by one of the most diverse workforces in the NHS. Every year we treat more than 700,000 patients at City Road in central London and at our 22 satellites sites, and, in partnership with the UCL Institute of Ophthalmology and Moorfields Biomedical Research Centre we lead one of the most impactful ophthalmic research programmes in the world.
We train many of the leading eye care clinicians in the UK and internationally and have a global reputation for quality and professionalism in ophthalmic care. In addition, we also operate commercial divisions that provide care to private patients in both London and the Middle East.
This is an exciting time to join Moorfields. The pandemic fast-tracked a huge amount of innovation which is changing the way we work and deliver care. Construction is under way on Oriel, our new eye care, research, and education centre being built in Camden. The new centre will be flexible and modern, enabling us to bring together healthcare, eye research and education under one roof for the first time.
If you want to be part delivering world class eye health services and you share our values: excellence, equity, and kindness, then we would love to hear from you!

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.