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Data Scientist/Software Engineer | Moorfields Eye Hospital NHS Foundation Trust
| Dyddiad hysbysebu: | 13 Mawrth 2025 |
|---|---|
| Cyflog: | Heb ei nodi |
| Gwybodaeth ychwanegol am y cyflog: | £54,320 - £60,981 pro rata per annum incl HCAS |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 12 Ebrill 2025 |
| Lleoliad: | London, EC1V 2PD |
| Cwmni: | Moorfields Eye Hospital NHS Foundation Trust |
| Math o swydd: | Cytundeb |
| Cyfeirnod swydd: | 7069824/273-DC-7069824 |
Crynodeb
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.
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.
Understand the available data resources from Moorfields clinical systems.
Independently but also in collaboration with the AI/Data science team, develop ML tools that will allow extracting clinically relevant features from ophthalmic imaging/electrophysiology.
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 coding, image processing and computer vision, machine learning, and web technologies (javascript).
Have working experience of database management (eg with SQL)
This advert closes on Thursday 20 Mar 2025