Job Description

Grade UE07: 34,610 to 39,906 per annum, pro-rata if part time

Royal (Dick) School of Veterinary Studies / SEBI-Livestock

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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Application Information:

Please include a CV and covering letter in your application.

As a valued member of our team you can expect:

A competitive salary An exciting, positive, creative, challenging and rewarding place to work. To be part of a diverse and vibrant international community Comprehensive Staff Benefits, such as a generous holiday entitlement, competitive pension schemes, staff discounts, and family-friendly initiatives. Check out the full list on our

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Championing equality, diversity and inclusion

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.


Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our

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The University may be able to sponsor the employment of international workers in this role. This will depend on a number of factors specific to the successful applicant.

Key dates to note

The closing date for applications is 10/12/2025

.

Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.





Interviews are planned for w/c 12/01/2026

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