Research Assistant

Integrated Care System; London; On-site; GBP 30,000 - 40,000; Full time

Job summary

A leading health service provider in London is seeking a Research Assistant to contribute to cutting-edge research involving machine learning models in urology. The ideal candidate must possess a degree in life sciences and experience in a relevant research setting. Responsibilities include model development, data management, and stakeholder communication. Join a dynamic team at the forefront of AI innovation in healthcare.

Qualifications

• Degree in life sciences or related field or equivalent theoretical knowledge.
• Experience in a relevant research setting.
• Certificate in GCP, qualitative research or clinical data management.

Responsibilities

• Contribute to the development, training, and validation of ML models.
• Liaise with the multidisciplinary research team to coordinate project timelines.
• Ensure that all data handling complies with GDPR and NHS standards.

Skills

Understanding of supervised learning

Proficiency in Microsoft Office (Word, Excel, PowerPoint)

Ability to understand NHS information governance

Presentation and teaching skills

Education

Degree in life sciences or related field

Evidence of continuing professional development in healthcare

Relevant course to clinical area

Tools

Python

R

SPSS

Job description

Go back Guy's and St Thomas' NHS Foundation Trust

Research Assistant

The closing date is 06 August 2025

• Utilising the outputs of this to apply for a future research grant
• Assist with setting up of this model in other centres once ready
• Systematic literature review
• Coordination of group discussions and interviews - The RA will work with GSTT AI team to develop this aspect for publication
• Assessing feasibility for integration with current UK-wide models of care

Main duties of the job

Workstream 1:

Using machine learning (ML)-driven Urology Triage Platform (UTP) to help address the increased Urology referrals of an ageing population directly addresses two of the industry research grand challenges of AI -supported initiates and innovation to support an ageing population and is consistent with the NHS long term plan pledge of 'digitally enabled' outpatient care becoming mainstream. Our previous work with Demdx has demonstrated a ML technical and clinical Urology Triage Platform (UTP) with developed ML algorithms to optimise clinical pathways can be potentially trained to a range of supervised learning models using a combination of SNOMED symptoms and anonymised past medical records as the independent variables and the diagnosis as the dependent variable.

Workstream 2: Understanding Barriers to AI Care

About us

Guy's and St Thomas' renal and transplant service is a centre of excellence for the treatment of kidney disease. Clinical services are centred at Guy's with outreach services offered on a number of sites in south east London and Kent. We offer treatment at all stages, including: early diagnosis, care for advanced kidney disease, including dialysis, kidney transplantation and end of life care. We have the largest and most active living kidney donation programme in the UK. Urology is a surgical speciality, covering the diagnosis and treatment of disorders of the kidneys, ureters, bladder, prostate and male reproductive organs. We deliver various types of research studies in the directorate.

Job responsibilities

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.

Person Specification

Qualifications/ Education

• Degree in life sciences or related field or equivalent theoretical knowledge
• Evidence of continuing professional development in healthcare, Artificial Intelligence or data science
• Relevant course to clinical area
• Certificate in GCP, qualitative research or clinical data management
• Experience of working in a relevant research setting
• Experience of working on own and in multidisciplinary team
• Experience with electronic case report forms and computer packages

Skills/Knowledge/ Ability

• Understanding of supervised learning, data structuring and machine learning model development
• Proficiency in using Microsoft Office (Word, Excel, PowerPoint) and data analysis platforms (e.g. Python, R, SPSS) Ability to understand and work within NHS information governance and research ethics frameworks
• Presentation and teaching skills

Disclosure and Barring Service Check

This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

Guy's and St Thomas' NHS Foundation Trust