Information Scientist

The University of Edinburgh; City of Edinburgh; On-site; GBP 34,000 - 40,000; Full time

Job summary

A prestigious university in the UK is seeking a detail-oriented Information Scientist to join the Monitoring & Learning Team. The role involves discovering, organising, classifying, and maintaining livestock information essential for monitoring sector change. Candidates should have a degree in a relevant field, along with strong skills in metadata management and data governance. This full-time position offers a salary of £34,610 to £39,906 per annum, pro-rata for part-time roles, and is fixed term for 3.5 years.

Qualifications

• Educated to degree level or above in a relevant subject.
• Strong understanding of metadata management and data governance.
• Knowledge of cataloguing standards and database structures.

Responsibilities

• Discover, organise, classify, and maintain livestock information.
• Manage metadata to ensure data accuracy.
• Improve data discoverability for various users.

Skills

Metadata management

Data governance

Classification methodologies

Database knowledge

GDPR knowledge

Education

Degree in Library and Information Science or related field

Tools

Dublin Core

AgMES

AGROVOC

NALT Core

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.

Core Responsibilities

• Discover, organise, classify, and maintain livestock information.
• Manage metadata, ensuring data accuracy.
• Improve data discoverability for users within SEBI‑L, the Gates Foundation’s 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.