Information Scientist

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profile Job Location:

Edinburgh - UK

profile Yearly Salary: £ 34610 - 39906
Posted on: 10 hours ago
Vacancies: 1 Vacancy

Job Summary

Description

Grade UE07: 34610 to 39906 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 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 Foundations 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 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 34610 to 39906per 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:

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 ourright to work webpages(opens new browser tab)

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.



DescriptionGrade UE07: 34610 to 39906 per annum pro-rata if part timeRoyal (Dick) School of Veterinary Studies / SEBI-LivestockFull-time: 35 hours per weekFixed term: 3.5 yearsWe are seeking a detail-oriented Information Scientist to join our Monitoring & Learning Team to discover organise classify ...
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Key Skills

  • Laboratory Experience
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  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

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As a world-leading research-intensive University, we are here to address tomorrow’s greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally.

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