Research Data Steward

The University of Exeter Research Software and Analytics Group supports cutting-edge research across the university, improving reproducibility and bolstering impact. The Group consists of Research Software Engineers, Research Data Scientists, and Research Data Stewards, The successful candidate will support a broad range of genetics and genomics projects. These projects will mostly focus on very large-scale genetic association studies for a range of diseases, including diabetes, reproductive aging, fetal growth and developmental disorders. Some projects will focus on bringing together common genetic variation data from millions of individuals from hundreds of studies across the world to identify genes associated with these conditions. Other projects will take advantage of large-scale biobanks, including UK Biobank and All of Us with hundreds of thousands of individuals that have extensive medical and other data available on them to identify rare variation associated with disease. Other projects will focus on single gene developmental conditions through resources such as the 100,000 genomes project and the newborn screening pilot initiative. The projects will use local servers, but also increasingly cloud based systems, such as AWS or Google
cloud. The successful applicant will be responsible for coordinating these efforts, including being responsible for generating guides for using these resources, maintaining shared sites and websites, maintaining GitHub sites and developing user guides for using these resources.

We are seeking talented professionals with skills in research data management to join the Group.
In this role you will support a portfolio of research projects and datasets, and thus are expected to multi-task and prioritise your own workload. Given the diverse nature of projects, you will also be required to develop expertise in new areas.
About you
Successful applicants will be talented, versatile research data specialists working to a professional standard with up-to-date skills. You should have demonstrable experience of managing and curating complex, large and/or rapidly changing datasets, supplemented by an understanding of open research and the principles of FAIR data and how that is applied within an academic research setting. This experience could have been acquired working in industry or via a PhD degree that required significant application of research data management and/or data engineering techniques. Given the research focus for this post, prior experience of contributing to academic research projects involving genetic datasets is desirable.
About the Research Software and Analytics team
You will join a rapidly growing team of dedicated, friendly and enthusiastic technical professionals with a diverse set of interests and backgrounds. We value collaboration, respect and an openness to innovative practises and ways of working. We adopt a flexible, hybrid working style with some home working. Every member of the team is part of the academic community and collaborates with researchers across the university to further the impact of Exeter research.