Research Assistant
| Dyddiad hysbysebu: | 25 Gorffennaf 2025 |
|---|---|
| Cyflog: | £37,259.00 i £45,356.00 bob blwyddyn |
| Gwybodaeth ychwanegol am y cyflog: | £37259.00 - £45356.00 a year |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 06 Awst 2025 |
| Lleoliad: | London, SE1 9RT |
| Cwmni: | NHS Jobs |
| Math o swydd: | Cytundeb |
| Cyfeirnod swydd: | C9196-25-1343 |
Crynodeb
Duties and Responsibilities Contribute to the development, training, and validation of ML models by preparing structured datasets derived from anonymised patient records and SNOMED-coded symptoms, in accordance with project protocols.Support the technical write-up of model development and results for internal reports, academic publications, and future research grant applications, ensuring high standards of accuracy and data integrity.Liaise with the wider multidisciplinary research team, including data scientists and urology clinicians, to coordinate project timelines and workflow for the UTP. Assist in planning and delivering the deployment of the AI-UTP model across other clinical centres, including the preparation of relevant documentation, user training, and model testing at site level.Conduct a systematic literature review to evaluate current evidence on barriers and facilitators to AI-based care in urology and contribute to publications arising from this work. Support the organisation and facilitation of qualitative interviews and focus groups with clinicians and patients to explore attitudes towards AI-based triage systems and identify concerns or adoption challenges.Work in close collaboration with GSTT AI Team to ensure that qualitative and quantitative data is appropriately analysed, interpreted, and prepared for publication. Ensure that all data handling complies with GDPR, NHS Digital transparency standards, and local research governance policies, maintaining strict confidentiality at all times. Communicate complex or technical information about research protocols and findings effectively with internal stakeholders, clinical teams, and external collaborators, both verbally and in writing. Attend team meetings, contribute to discussions on AI innovation in urology, and support the preparation of presentations for national and international conferences and stakeholder briefings. Please see job description document for full responsibilities.