Vacancy for Senior Research Data Steward at University College London

Digital Preservation Coalition
London, UK
19 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Cyber Security Data Governance

Requirements

Research Data Stewards will have experience of conducting data-intensive research in an academic research environment and the technical skills to document, process and transform data. They will need to be an excellent communicator with the ability to explain technical and specialised concepts clearly to non-technical academic and support staff.

At Senior grade, a data steward with a strong background of working with sensitive data who can help research teams with data governance. They should understand information security and risk management, and have a good knowledge of the issues involved in handling and disseminating sensitive data.

About the company

The UCL Centre for Advanced Research Computing (ARC) is UCL’s new institute for infrastructure and innovation in digital research - the supercomputers, datasets, software and people that make computational science and digital scholarship possible. We are an innovative hybrid: a professional services department that delivers reliable and secure infrastructure and services to UCL research groups, and a laboratory for research and innovation in the application of advanced computational and data intensive research methods, working in partnership with academics from all fields.

We are a home for the research technology professionals - research software engineers, HPC systems engineers, dev-ops specialists, data engineers, data scientists and data stewards - who support and collaborate in the delivery of UCL research.

Research Data Stewards (also known as research data managers, data consultants, data wranglers, or bioinformaticians) provide technically focused support and consultancy to researchers at UCL, helping them to improve their data management, align with university and funder policies, and enable Open Science and FAIR data.

They will spend much of their time embedded within research projects, but also contribute to new research proposals and collaborate on research data service design.

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