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Guy's and St Thomas' NHS Foundation Trust

Research Assistant

The closing date is 06 August 2025

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Job summary

The RA will be responsible for:

  • Coordinating the write up of this data
  • 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.

Details

Date posted

25 July 2025

Pay scheme

Agenda for change

Band

Band 5

Salary

£37,259 to £45,356 a year pa incl. HCA

Contract

Fixed term

Duration

12 months

Working pattern

Full-time

Reference number

196-LIS9742

Job locations

Guy's Hospital

Great Maze Pond

London

SE1 9RT


Job description

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.

Job description

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

Essential

  • Degree in life sciences or related field or equivalent theoretical knowledge
  • Evidence of continuing professional development in healthcare, Artificial Intelligence or data science

Desirable

  • Relevant course to clinical area
  • Certificate in GCP, qualitative research or clinical data management

Previous experience

Essential

  • Experience of working in a relevant research setting
  • Experience of working on own and in multidisciplinary team

Desirable

  • Experience with electronic case report forms and computer packages

Skills/Knowledge/ Ability

Essential

  • 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

Desirable

  • Presentation and teaching skills
Person Specification

Qualifications/ Education

Essential

  • Degree in life sciences or related field or equivalent theoretical knowledge
  • Evidence of continuing professional development in healthcare, Artificial Intelligence or data science

Desirable

  • Relevant course to clinical area
  • Certificate in GCP, qualitative research or clinical data management

Previous experience

Essential

  • Experience of working in a relevant research setting
  • Experience of working on own and in multidisciplinary team

Desirable

  • Experience with electronic case report forms and computer packages

Skills/Knowledge/ Ability

Essential

  • 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

Desirable

  • 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.

Certificate of Sponsorship

Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website (Opens in a new tab).

From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants (Opens in a new tab).

Additional information

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.

Certificate of Sponsorship

Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website (Opens in a new tab).

From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants (Opens in a new tab).

Employer details

Employer name

Guy's and St Thomas' NHS Foundation Trust

Address

Guy's Hospital

Great Maze Pond

London

SE1 9RT


Employer's website

https://www.guysandstthomas.nhs.uk/careers/careers.aspx (Opens in a new tab)

Employer details

Employer name

Guy's and St Thomas' NHS Foundation Trust

Address

Guy's Hospital

Great Maze Pond

London

SE1 9RT


Employer's website

https://www.guysandstthomas.nhs.uk/careers/careers.aspx (Opens in a new tab)

Employer contact details

For questions about the job, contact:

Professor of Urology

Professor Tet Yap

tet.yap@nhs.net

Details

Date posted

25 July 2025

Pay scheme

Agenda for change

Band

Band 5

Salary

£37,259 to £45,356 a year pa incl. HCA

Contract

Fixed term

Duration

12 months

Working pattern

Full-time

Reference number

196-LIS9742

Job locations

Guy's Hospital

Great Maze Pond

London

SE1 9RT


Supporting documents

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