Research Technician

Unist; Southampton; On-site; GBP 30,000 - 50,000; Full time

Job summary

Join a forward-thinking research team focused on leveraging AI tools in the NHS to improve mental health diagnostics. This role as a Research Technician involves conducting vital analyses using Clinical Practice Research Datalink data, contributing to groundbreaking research aimed at understanding and addressing disparities in healthcare. You will work in a dynamic environment, collaborating with experts and presenting your findings in innovative ways. If you are passionate about research and have a strong background in statistical analysis, this opportunity is perfect for you.

Qualifications

• Experience in analysing Clinical Practice Research Datalink (CPRD) data.
• Strong organisational skills and independence in research tasks.

Responsibilities

• Conduct CPRD analyses for AI tool evaluation in mental health.
• Present findings using interactive visualisations.

Skills

Statistical Analysis

Epidemiology

Organisational Skills

Data Analysis

English Communication

Education

Degree in a relevant field

Tools

CPRD

Job description

Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Other Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country United Kingdom Application Deadline 27 May 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Research Technician to join the Big Data in Health Group at the Primary Care Research Centre

About the Project

This project investigates the use of artificial intelligence (AI) tools in the NHS for diagnosing mental health conditions, particularly in individuals with multiple long-term conditions (MLTC). It aims to assess the potential for AI tools to exacerbate disparities based on sociodemographic factors such as age, sex, ethnicity, and socio-economic status. We will be cataloguing AI tools used in clinical settings and evaluating a selected subset using data from the Clinical Practice Research Datalink (CPRD). The research is funded by the NIHR through the MLTC Cross NIHR Collaboration, aligning with the NIHR Strategic Framework for MLTC Research.

The work will be based within the Big Data in Health Group (BDiH) at the University of Southampton, led by Dr. Hajira Dambha-Miller, and involves collaboration with the NIHR CNC methodologies team.

About the Role

Experience in analysing CPRD is essential. You will primarily be responsible for conducting CPRD analyses. The role requires strong organisational skills, independence, and proficiency in statistical analysis or epidemiology. You will also be expected to present findings using interactive visualisations. This position is initially funded until 31st December 2025 with potential for extension.

About You

We are seeking a candidate with experience in CPRD. Excellent written and verbal English is required, and the ability to work independently. If you meet these requirements, we invite you to join our dynamic and supportive research group.

Please note, shortlisted applicants will be invited to interview and be required to complete a short pre-interview assessment.