Data Research Software Engineer

at  University of Bristol

YOU SHOULD APPLY IF

You have programming experience using Python and proved experience of data manipulation and/or analysis with statistical packages/languages such as SPSS, R, Stata.
You have experience of working with large datasets and an understanding of the issues surrounding data curation, integrity and documentation
You have excellent technical writing skills with application to user guides and technical documentation and an understanding of the issues surrounding data curation, integrity and documentation.
You have excellent organisational skills
You enjoy a fast paced and changing workload.
You enjoy taking initiative on the development of processes.

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 UKs 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 participant’s data to their health, social and environmental records. 5 years funding has now been secured to sustain and expand the resource. This is an ideal role for people with data programming skills and establishing a Data Science career. You will work in a vibrant analytical environment used by researchers from different disciplines and of all stages of seniority. This role will be responsible for maintaining and developing data pipelines and tools that process data and metadata enabling important research projects through creative technical solutions and high quality documentation.
The anticipated interview date Monday 9th December 2024.

WHAT WILL YOU BE DOING?

Sourcing and creating metadata – including python code development and writing documentation materials.
Sourcing and creating data documentation – including descriptive statistical analysis.
Curating and cleaning data – including python code development.
Writing data programming software to prepare and manipulate data so that it is ready for research use.
Managing researcher access to systems.
Producing well-structured, annotated code.
Using excellent programming skills to write code that will develop sophisticated solutions to automate existing manual tasks such as processing data files whilst maintaining integrity and confidentiality.
Analysing complex data files.
Ensuring information security is integral to any processes and scripts implemented.
Developing solutions which take the existing infrastructure into consideration.