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- Tasks: Join our team to analyse AI tools in NHS mental health diagnostics.
- Company: Be part of the University of Southampton's innovative Big Data in Health Group.
- Benefits: Enjoy a full-time role with potential for contract extension and collaborative research opportunities.
- Why this job: Make a real impact on healthcare while working with cutting-edge AI technology.
- Qualifications: Experience in CPRD analysis and strong statistical skills are essential.
- Other info: Shortlisted candidates will complete a pre-interview assessment.
The predicted salary is between 36000 - 60000 £ per year.
Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Other Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country United Kingdom Application Deadline 31 Jul 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.
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Research Technician employer: Euraxess
Contact Detail:
Euraxess Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Technician
✨Tip Number 1
Familiarise yourself with the Clinical Practice Research Datalink (CPRD) and its applications in health research. Understanding how to navigate and analyse data from CPRD will give you a significant edge during the interview process.
✨Tip Number 2
Brush up on your statistical analysis skills, particularly in relation to epidemiology. Being able to demonstrate your proficiency in these areas will show that you're well-prepared for the responsibilities of the role.
✨Tip Number 3
Prepare to discuss your previous experience with AI tools in healthcare settings. Highlight any relevant projects or analyses you've conducted, as this will showcase your ability to contribute to the research on AI in mental health diagnostics.
✨Tip Number 4
Practice presenting complex data findings using interactive visualisations. Being able to communicate your results effectively will be crucial, so consider creating a few mock presentations to refine your skills before the interview.
We think you need these skills to ace Research Technician
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the specific requirements and responsibilities of the Research Technician position. Highlight your experience with CPRD and any relevant skills in statistical analysis or epidemiology.
Tailor Your CV: Customise your CV to reflect your relevant experience and skills that align with the job. Emphasise your organisational skills, independence, and any previous work related to AI tools or mental health research.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the project and your understanding of the role. Mention how your background makes you a suitable candidate and express your enthusiasm for joining the Big Data in Health Group.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any grammatical errors or typos. Ensure that your documents are clear, concise, and professionally presented to make a strong impression.
How to prepare for a job interview at Euraxess
✨Know Your CPRD Inside Out
Since experience in analysing the Clinical Practice Research Datalink (CPRD) is essential for this role, make sure you brush up on your knowledge. Be prepared to discuss specific analyses you've conducted and how they relate to the project.
✨Showcase Your Statistical Skills
This position requires proficiency in statistical analysis or epidemiology. Be ready to talk about the statistical methods you are familiar with and how you've applied them in previous research. Consider bringing examples of your work to illustrate your expertise.
✨Prepare for Interactive Visualisations
You'll need to present findings using interactive visualisations, so think about how you can demonstrate your ability in this area. If you have past projects where you've used visualisation tools, be sure to mention them and explain the impact they had on your research.
✨Communicate Clearly and Confidently
Excellent written and verbal English is a must. Practice articulating your thoughts clearly and confidently, especially when discussing complex topics. This will help you stand out as a candidate who can effectively communicate research findings to diverse audiences.
