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Data Manager

The University of Edinburgh - CMVM - Deanery of Biomedical Sciences - Centre for Discovery Brain Sciences

Location: Edinburgh
Salary: £39,347 to £46,974 per annum (Grade 7)
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 25th July 2024
Closes: 22nd August 2024
Job Ref: 10422

Full-time: 35 hours per week.

Fixed-Term: 3 years, with possibility for extension.

This vital role will be part of a team of Data Managers working together across Institutes to develop and implement consistent procedures for effective data management. The post holder will provide advice, guidance and practical support to Principal Investigators (PIs) and academic researchers in ensuring the effective management, integrity and security of research data.

The Opportunity:

This role offers an excellent opportunity to work with a variety of distinguished scientists on a range of cutting-edge research problems and will include the whole data lifecycle from concept, generation and analysis to archive and deletion. It will involve working collaboratively with other Data Managers to establish processes and training that are common across Institutes, and which make it easy for PIs and colleagues to adopt good data management practices as part of daily research activities.

This post is full-time (35 hours per week), however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working; however, regular attendance on campus is essential for this role.

Your skills and attributes for success: 

  • Excellent communication, negotiation and interpersonal skills with the ability to influence and persuade wide range of stakeholders
  • Experience working with a variety of Principal Investigators and other research, technical and administrative staff in the field of data management
  • Experience of implementing and enforcing policies and processes in relation to research data management across the full data life cycle
  • Design and delivery of training appropriate to research staff to improve practice
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