| Location: | Bristol, Hybrid |
|---|---|
| Salary: | £43,482 to £50,253 Grade J, per annum |
| Hours: | Full Time |
| Contract Type: | Permanent |
| Placed On: | 1st May 2026 |
|---|---|
| Closes: | 24th May 2026 |
| Job Ref: | SUPP113310 |
The role
This is an exciting opportunity to contribute to a UK-wide research programme, as part of a team (across Bristol and Edinburgh) that built a new data architecture for the UK’s Chief Scientific Advisor during the Covid-19 pandemic. The UK Longitudinal Linkage Collaboration (UK LLC) is a research platform that provides a secure computing environment to systematically link study participants’ data to their health, social and environmental records. The team has received funding to sustain and expand the resource. This is an ideal role for someone with data programming skills and an interest in supporting the research community to utilise the resource, for example, through working groups. You will be responsible for understanding, curating and providing technical advice for data analyses of a suite of novel and exciting NHS mental health data and surveys and administrative data from DWP and HMRC, incorporating, for example, receipt of benefits, income and earnings. You will work with a wide range of external stakeholders in a fast-paced environment, whilst always working to the highest level of UK Information Governance Standards.
Hybrid working is available: minimum 2 days in the office, typically Tuesdays and Wednesdays.
What will you be doing?
You will lead the support framework for expert researchers, providing bespoke guidance and advice to Longitudinal Population Studies’ (LPS) data managers, writing complex technical documentation for new and evolving processes and datasets, and carrying out data processing/descriptive analyses to develop novel understanding, which will be published on GitHub or pre-print publications. Supporting the research community through working groups to share knowledge and maximise the functionality of these data for research for public good.
You should apply if
You are qualified and experienced in working with a variety of complex data types, and the application of a variety of statistical packages and coding approaches. You enjoy applying these skills to new scenarios and solving problems whilst developing new methods and approaches as well as improving existing ones. You have excellent communication skills, an interest in customer liaison, and enjoy working in a fast-paced and dynamic environment with an enthusiastic and diverse team.
Additional information
Contract type: Open-ended with funding until 31/05/2028
Shift pattern: 35h/week
This advert will close at 23:59 UK time on 24/05/2026
For informal queries please contact:
Katharine Evans (Senior Data Manager (Governance & Users)) Katharine.evans@bristol.ac.uk
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