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10339 - Research Assistant (Social Science)
| Posting date: | 22 May 2024 |
|---|---|
| Salary: | £32,982 to £38,205 per year |
| Hours: | Full time |
| Closing date: | 05 June 2024 |
| Location: | Edinburgh, Scotland |
| Remote working: | Hybrid - work remotely up to 4 days per week |
| Company: | University of Edinburgh |
| Job type: | Temporary |
| Job reference: | 10339 |
Summary
Research Assistant (Social Science)
UE06 - £32,982 - £38,205
CMVM / MGPHS / USHER Institute
Contract type: Full-time (35 Hours per week)
Fixed Term available immediately until 15/04/2030
Location: Usher Building, 5-7 Little France Road, Edinburgh BioQuarter - Gate 3, Edinburgh, EH16 4UX
The Centre for Medical Informatics at the Usher Institute within The University of Edinburgh is looking for a Research Assistant (Social Science).
The Opportunity:
This post offers the opportunity to work on an exciting new initiative using data driven approaches to embed real-time research within the Intensive Care environment.
You will work in a fast-paced, agile environment, collaborating with academics, clinicians, information governance teams, patient and public engagement groups, and industry partners. You will help to inform the design of systems and interfaces to feed back information to clinicians. Using longitudinal qualitative research, you will provide insights into stakeholder needs, using theoretically-informed analysis to evaluate data-driven approaches in critical care.
This post offers an exciting opportunity to contribute to the evidence base for management of critically ill patients by conducting innovative qualitative research at the interface between data science and medical research. We would enthusiastically welcome applicants who wish to embed a PhD within this post.
Informal enquiries may be directed to Dr Annemarie Docherty, Wellcome CDA Fellow (annemarie.docherty@ed.ac.uk).
Your skills and attributes for success:
• Degree in a relevant social science (e.g. Science & Technology Studies, Sociology, Anthropology) or cognate discipline
• Experience in qualitative data collection and analysis
• Excellent analytical and communication skills (verbal and written) together with a proactive attitude to problem solving
• Excellent interpersonal skills including team working and a collaborative, collegiate approach, and the ability to establish and maintain personal working relationships with colleagues
• Experience working within the healthcare setting
UE06 - £32,982 - £38,205
CMVM / MGPHS / USHER Institute
Contract type: Full-time (35 Hours per week)
Fixed Term available immediately until 15/04/2030
Location: Usher Building, 5-7 Little France Road, Edinburgh BioQuarter - Gate 3, Edinburgh, EH16 4UX
The Centre for Medical Informatics at the Usher Institute within The University of Edinburgh is looking for a Research Assistant (Social Science).
The Opportunity:
This post offers the opportunity to work on an exciting new initiative using data driven approaches to embed real-time research within the Intensive Care environment.
You will work in a fast-paced, agile environment, collaborating with academics, clinicians, information governance teams, patient and public engagement groups, and industry partners. You will help to inform the design of systems and interfaces to feed back information to clinicians. Using longitudinal qualitative research, you will provide insights into stakeholder needs, using theoretically-informed analysis to evaluate data-driven approaches in critical care.
This post offers an exciting opportunity to contribute to the evidence base for management of critically ill patients by conducting innovative qualitative research at the interface between data science and medical research. We would enthusiastically welcome applicants who wish to embed a PhD within this post.
Informal enquiries may be directed to Dr Annemarie Docherty, Wellcome CDA Fellow (annemarie.docherty@ed.ac.uk).
Your skills and attributes for success:
• Degree in a relevant social science (e.g. Science & Technology Studies, Sociology, Anthropology) or cognate discipline
• Experience in qualitative data collection and analysis
• Excellent analytical and communication skills (verbal and written) together with a proactive attitude to problem solving
• Excellent interpersonal skills including team working and a collaborative, collegiate approach, and the ability to establish and maintain personal working relationships with colleagues
• Experience working within the healthcare setting