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Mae'r hysbyseb swydd hon wedi dod i ben ac mae'r ceisiadau wedi cau.
Research Technician
| Dyddiad hysbysebu: | 20 Mawrth 2025 |
|---|---|
| Cyflog: | £30,805 i £35,116 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 10 Ebrill 2025 |
| Lleoliad: | Southampton, Hampshire |
| Gweithio o bell: | Ar y safle yn unig |
| Cwmni: | University of Southampton |
| Math o swydd: | Cytundeb |
| Cyfeirnod swydd: | 3017625LG-R |
Crynodeb
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.
For an informal discussion about the post please contact Associate Professor Hajira Dambha-Miller at: H.Dambha-Miller@soton.ac.uk.
Please note, shortlisted applicants will be invited to interview and be required to complete a short pre-interview assessment.
We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity.
Apply by 11.59 pm GMT on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or recruitment@soton.ac.uk quoting the job number.
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: H.Dambha-Miller@soton.ac.uk.
Please note, shortlisted applicants will be invited to interview and be required to complete a short pre-interview assessment.
We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity.
Apply by 11.59 pm GMT on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or recruitment@soton.ac.uk quoting the job number.
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