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University of Cambridge

Research Data Manager

Cambridge
Posted 1 day ago
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Join us at the world-leading CRUK Cambridge Institute

We're a unique department of the University of Cambridge, core funded by Cancer Research UK's charitable activities, and we're eagerly searching for a Research Data Manager to join our IT and Scientific Computing team.

The Research Data Manager will be responsible for creating and implementing data management standards to ensure the integrity, security, and quality of research data, and to aid in the joint analysis of multiple datasets from different core facilities and research projects. They will work closely with research groups, faculty, core facilities, and the IT and Scientific Computing Department to establish best practices for data management, metadata standards, championing best practice and policy compliance.

Key Responsibilities

Data Management Standards

  • Establish Institute-wide project, experiment, and sample tracking and identity framework
  • Develop, implement, and maintain comprehensive metadata standards to support research activities and data analysis across different research domains and disciplines
  • Collaborate with Faculty and researchers to understand their specific data needs and ensure that standards align with the research objectives of different disciplines

Collaboration With IT And Scientific Computing

  • Work closely with the IT and Scientific Computing department, which manages the hardware infrastructure (e.g. servers, cloud storage), to align data management standards with technical infrastructure
  • Facilitate communication between Faculty, researchers, and IT to ensure data storage and archiving solutions meet the needs of academic research

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Data Quality, Integrity And Metadata Curation

  • Define and encourage the adoption of a subset of metadata standards specific to individual research domains (e.g. Light Microscopy, Histopathology, Proteomics) to ensure datasets are well-documented and accessible. And that simple cross-domain searches and analysis are feasible.
  • Implement protocols for data validation, quality control, and metadata curation
  • Train Faculty and researchers on metadata annotation, data documentation, and best practices for ensuring high-quality, reusable data

Training, Support And Standards Development

  • Provide training and support to staff and researchers on data management
  • Collaborate with Faculty to develop institutional policies on data governance
  • Share good practice advice, promote and encourage the adoption of the Institute's Electronic Lab Notebook

Collaboration And Innovation

  • Collaborate with Faculty, IT, and research teams to refine data governance frameworks and address emerging challenges
  • Stay informed on new developments in metadata standards, research tools, and data management practices to support innovative research

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Once an offer of employment has been accepted, the successful candidate will be required to undergo a basic disclosure (criminal records check) check and a security check.

We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.

How to Apply

Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online.

Please ensure that you upload a covering letter and a CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

The closing date for applications is Thursday 30 July 2026.

The interview date for the role is to be confirmed.

Please quote reference SW50423 on your application and in any correspondence about this vacancy.

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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Skills

Data Management
Metadata Standards
Data Quality
Data Integrity
Data Documentation
Data Governance
Collaboration
Training
Research Support
Data Analysis
IT Collaboration
Quality Control
Best Practices
Communication
Innovation
Curation

Location

Cambridge, England, United Kingdom

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