Grade UE07: Ā£34,610 to Ā£39,906 per annum, proārata if part time. Royal (Dick) School of Veterinary Studies / SEBIāLivestock. Fullātime: 35 hours per week. Fixed term: 3.5 years.
We are seeking a detailāoriented Information Scientist to join our Monitoring & Learning Team, to discover, organise, classify, and maintain relevant livestock information required for monitoring sector change.
The Opportunity SEBIāLivestock (SEBIāL) is a dynamic and innovative organisation tasked with improving livestock data and evidence in lowā and middleāincome countries to support better informed decision making. In addition to convening the Livestock Data for Decisions (LD4D) network, we provide core data and monitoring services to the Gates Foundation to assist in the tracking of their livestock investments.
Core Responsibilities Discover, organise, classify, and maintain livestock information.
Manage metadata, ensuring data accuracy.
Improve data discoverability for users within SEBIāL, the Gates Foundation\ās Livestock Pillar, and broader livestock data users.
Catalogue information relating to livestock datasets, projects, policy, agricultural census reports, and other sources as defined.
Your skills and attributes for success Educated to degree level or above in a relevant subject (e.g., Library and Information Science, Data Management or a related field).
Strong understanding of metadata management, data governance, and classification methodologies.
Knowledge of relevant cataloguing and classification standards and reference tools (e.g., Dublin Core, AgMES, AGROVOC, NALT Core).
Familiarity with database and data structures.
Knowledge of regulatory requirements related to data management (e.g., GDPR, CCPA).
Application Information: Please include a CV and covering letter in your application.
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Contact Detail:
The University of Edinburgh Recruiting Team