12704 - Data Analyst
| Posting date: | 25 June 2025 |
|---|---|
| Salary: | £40,497 to £48,149 per year |
| Hours: | Full time |
| Closing date: | 16 July 2025 |
| Location: | Edinburgh, Scotland |
| Remote working: | Hybrid - work remotely up to 3 days per week |
| Company: | University of Edinburgh |
| Job type: | Temporary |
| Job reference: | 12704 |
Summary
UE07: £40,497 to £48,149
CMVM / MGPHS / USHER Institute
Contract type: Full time (35 hours per week)
Fixed Term available from 1st September 2025 until 31st August 2028
Location: Usher Institute, Usher Building, 5-7 Little France Road, Edinburgh BioQuarter - Gate 3, Edinburgh, EH16 4UX
This post is advertised as full-time (35 hours per week), however, we will consider part-time or flexible working patterns (minimum of 20 hours/ week).
We will also consider requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular (weekly) on-campus working. The Usher Institute expects a minimum of 40% on campus working.
The Centre for Medical Informatics at the Usher Institute within The University of Edinburgh is looking for a Data Analyst.
The Opportunity:
This post offers the opportunity to work on an exciting new initiative using data driven research approaches to improve child health through housing interventions as part of a new 5 year Wellcome funded study, Homes, Heat and Healthy Kids.
This study capitalises on the new ability to link healthcare and individual property-level data across Scotland for the first time, to create a rich retrospective birth cohort linking electronic health records with data on home energy efficiency and energy use, smart meters, high street banking, air pollution and climate.
You will work in a fast-paced, agile and cross-sectoral research environment. Public and political consciousness of the link between health and housing is rising. The study already has over 50 organisations as stakeholders, including policy makers, public sector, third sector and industry partners. You will be collaborating with our stakeholders to develop novel methodology to:
i) Provide policy makers with estimates of how many preschool respiratory infections could be avoided if every home was adequately heated.
i) Explore how different ways of making homes warmer affect the risk of respiratory infection risk, in particular the balance between warmth and reduced indoor air quality.
This body of work has the potential to influence housing, health, energy and Net Zero policies. There will be significant opportunities to develop both public engagement and policy translation skills for the successful applicant.
Informal enquiries may be directed to Dr Olivia Swann, Senior Clinical Research Fellow and Honorary Consultant in Paediatric Infectious Disease (Olivia.Swann@ed.ac.uk).
Your skills and attributes for success:
• A PhD in a scientific or numerate subject, or able to demonstrate relevant and equivalent experience.
• Experience in writing complex queries to interrogate databases.
• Experience in using statistical programming for data analysis and machine learning/deep learning, using python or R.
• Ability to work well within a interdisciplinary team.
• Commitment to contribute to positive research culture.
CMVM / MGPHS / USHER Institute
Contract type: Full time (35 hours per week)
Fixed Term available from 1st September 2025 until 31st August 2028
Location: Usher Institute, Usher Building, 5-7 Little France Road, Edinburgh BioQuarter - Gate 3, Edinburgh, EH16 4UX
This post is advertised as full-time (35 hours per week), however, we will consider part-time or flexible working patterns (minimum of 20 hours/ week).
We will also consider requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular (weekly) on-campus working. The Usher Institute expects a minimum of 40% on campus working.
The Centre for Medical Informatics at the Usher Institute within The University of Edinburgh is looking for a Data Analyst.
The Opportunity:
This post offers the opportunity to work on an exciting new initiative using data driven research approaches to improve child health through housing interventions as part of a new 5 year Wellcome funded study, Homes, Heat and Healthy Kids.
This study capitalises on the new ability to link healthcare and individual property-level data across Scotland for the first time, to create a rich retrospective birth cohort linking electronic health records with data on home energy efficiency and energy use, smart meters, high street banking, air pollution and climate.
You will work in a fast-paced, agile and cross-sectoral research environment. Public and political consciousness of the link between health and housing is rising. The study already has over 50 organisations as stakeholders, including policy makers, public sector, third sector and industry partners. You will be collaborating with our stakeholders to develop novel methodology to:
i) Provide policy makers with estimates of how many preschool respiratory infections could be avoided if every home was adequately heated.
i) Explore how different ways of making homes warmer affect the risk of respiratory infection risk, in particular the balance between warmth and reduced indoor air quality.
This body of work has the potential to influence housing, health, energy and Net Zero policies. There will be significant opportunities to develop both public engagement and policy translation skills for the successful applicant.
Informal enquiries may be directed to Dr Olivia Swann, Senior Clinical Research Fellow and Honorary Consultant in Paediatric Infectious Disease (Olivia.Swann@ed.ac.uk).
Your skills and attributes for success:
• A PhD in a scientific or numerate subject, or able to demonstrate relevant and equivalent experience.
• Experience in writing complex queries to interrogate databases.
• Experience in using statistical programming for data analysis and machine learning/deep learning, using python or R.
• Ability to work well within a interdisciplinary team.
• Commitment to contribute to positive research culture.