Information Scientist

Full-time: 35 hours per week 

Fixed term: 3.5 years

We are seeking a detail-oriented Information Scientist to join our Monitoring & Learning Team, to discover, organise, classify, and maintain relevant livestock information required for monitoring sector change. 

The Opportunity:

SEBI-Livestock (SEBI-L) is a dynamic and innovative organisation tasked with improving livestock data and evidence in low- and middle-income 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. 

This role involves managing metadata, ensuring data accuracy, and improving data discoverability for users within SEBI-L, the Gates Foundation’s Livestock Pillar and livestock data users more broadly. The ideal candidate will have a keen eye for detail, strong analytical skills, and experience with developing information catalogues. Information to be catalogued will include information relating to livestock datasets, livestock projects policy and agricultural census reports, and other sources to be defined.

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.

The salary for this post is £34,610 to £39,906 per annum.

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).

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