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Research Software Engineer

Leeds Institute for Data Analytics 

This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner.   We are also open to discussing flexible working arrangements.

Would you like to make a difference to data analytics and AI research, education and training in one of the leading Universities in the world? Would you like to develop a career in the emerging field of research data science?

At LIDA our mission, aligned with the University’s strategy is to exploit data science and AI to generate societal impact.

LIDA brings together applied research groups and data scientists from all disciplines, opening up new opportunities to understand health and human behaviour and casting light on the action required to tackle a wide range of health, social and environmental problems. 

LIDA conducts inter-disciplinary and impact-oriented research addressing regional, national and global challenges, by applying cutting-edge data science, machine learning and AI to real-world problems. By working to ensure the effective use of vast data collections to drive research, policy development and public good initiatives, we connect academic research and education with external partners in business, government and the third sector, driving civic engagement and business growth in the North of England and beyond.

You can read more about LIDA’s pioneering research during 2023.

Working in the Data Analytics Team (DAT) based within LIDA, as a Research Software Engineer you will work with researchers from across the University across a range of research areas, including on technical software development, data management and cloud computing, to accelerate productivity, improve research outcomes and generate societal impact.

As well as spending time embedded within a variety research projects across domains and disciplines you will also be responsible for taking the lead on the day to day running of the University of Leeds’ Trusted Research Environment. This involves contributing to new research proposals, collaboratively designing and implementing project work flows and helping improve the service whilst ensuring compliance with University policy. 

What we offer in return

  • 26 days holiday plus approx. 16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
  • Generous pension scheme plus life assurance– the University contributes 14.5% of salary
  • Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
  • Personal Development: Access to courses run by our Organisational Development & Professional Learning team, and self-development courses including languages, Creative Writing, Wellbeing Therapies and much more.
  • Access to on-site childcare, shopping discounts and travel schemes are also available.

And much more!  

If you are looking for a role that will use cutting edge data science to drive research apply today.

Secondment can be considered for internal staff.

Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information please visit: www.gov.uk/skilled-worker-visa.

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information please visit: https://www.gov.uk/global-talent

To explore the post further or for any queries you may have, please contact: 

Adam Keeley, LIDA DAT Manager

Email: A.Keeley@leeds.ac.uk

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Further details:

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Job Details
Location
Leeds - Main Campus
Faculty/Service
Faculty of Medicine & Health
School/Institute
Leeds Institute for Data Analytics (LIDA)
Category
Technical Support
Grade
Grade 7
Salary
£38,205 to £45,585 per annum
Post Type
Full Time
Contract Type
Fixed Term (12 months - There is a need for temporary cover. Secondment can be considered for internal staff.)
Release Date
Friday 06 September 2024
Closing Date
Friday 20 September 2024
Reference
MHLDA1053
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