Research Technician

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

Job summary

Join a forward-thinking research team at a prestigious university to explore the use of AI tools in diagnosing mental health conditions. This role offers the chance to work on impactful research funded by the NIHR, focusing on the intersection of AI and healthcare disparities. You will be responsible for analyzing data from the Clinical Practice Research Datalink and presenting your findings in innovative ways. If you possess strong statistical and organizational skills and are passionate about improving health outcomes, this opportunity is perfect for you. Be part of a dynamic and supportive environment that values independent research and collaboration.

Qualifications

• Experience in analyzing Clinical Practice Research Datalink (CPRD) data.
• Strong proficiency in statistical analysis and epidemiology.

Responsibilities

• Conduct CPRD analyses and present findings using interactive visualizations.
• Work independently within the Big Data in Health Group.

Skills

Statistical Analysis

Epidemiology

Organisational Skills

Data Analysis (CPRD)

Presentation Skills

Education

PhD in Epidemiology or related field

Master's in Statistics or related field

Job description

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.

For an informal discussion about the post please contact Associate Professor Hajira Dambha-Miller at: [e-mail].

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