Vacancy for Senior Research Data Steward at University College London
12 May 2024
London
Full-Time
About us
The UCL Centre for Advanced Research Computing (ARC) is UCL’s institute for infrastructure and innovation in digital research, supporting supercomputers, datasets, software, and people that enable computational science and digital scholarship. We are a hybrid organization combining a professional services department providing reliable and secure infrastructure to UCL research groups, and a research laboratory for advancing computational and data-intensive research methods, collaborating with academics across disciplines.
We house research technology professionals—including research software engineers, HPC systems engineers, dev-ops specialists, data engineers, data scientists, and data stewards—who support and collaborate in UCL research activities.
Research Data Stewards (also known as research data managers, data consultants, data wranglers, or bioinformaticians) offer technical support and consultancy to UCL researchers, assisting with data management, policy compliance, and promoting Open Science and FAIR data principles.
They will be embedded within research projects but also contribute to new research proposals and collaborate on designing research data services.
About you
Successful candidates will have experience conducting data-intensive research within an academic environment and possess technical skills to document, process, and transform data. Excellent communication skills are essential to clearly explain technical concepts to non-technical staff.
At the Senior grade, candidates should have a strong background working with sensitive data, understanding data governance, information security, and risk management, and be familiar with issues related to handling and disseminating sensitive data.
We are especially interested in applicants with experience in areas such as ISO27001 certification, Information Security Management Systems (ISMS), Trusted Research Environments (TRE), Secure Data Environments (SDE), Data Safe Havens (DSH), the Five Safes model, healthcare data processing, NHS Data Security and Protection Toolkit, anonymising personal data, data protection, and ethics.
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