Data Steward

KZ-4280; Data Curator

Location: Remote OR Hybrid - onsite Cheshire/Lancashire

Length of Project: An initial 3 months

Start Date: ASAP

Contract Type: Outside IR35

Advertised Rate: £ comp (daily rate)

Please note our client is unable to sponsor visa applications for this opportunity

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Summary

Do you have experience of providing Data Curation expertise to support a high-impact data governance and harmonisation initiative within a leading pharmaceutical organisation.

This role involves interpreting complex biological and medical data, applying structured data models, and developing controlled vocabularies to ensure data is interoperable, discoverable, and analytics-ready.

The project needs a consultant who can:

• Collaborate across business and technical teams to implement harmonised, high-quality data curation strategies.
• Curate complex scientific datasets to maximise their reusability and analytical value.
• Design and maintain domain-specific controlled vocabularies and ontologies aligned to FAIR data principles.

Key services:

The key services that you will be asked to provide are:

• Curate biological and medical data to ensure consistency, interoperability, and alignment with internal standards.
• Implement data quality checks, validation rules, and profiling methods.
• Support the development and application of taxonomies and ontologies.
• Engage business stakeholders to align data curation activities with scientific needs.
• Promote data governance best practices and ensure adherence to policies and FAIR data principles.

Mandatory Requirements:

Successful consultants will be able to demonstrate:

• Proven experience in scientific or biomedical data curation within a pharmaceutical or life sciences environment. Alternatively, you may have proven experience within a large global manufacturing supply chain function.
• Strong understanding of controlled vocabularies, taxonomies, ontologies, and semantic data models.
• Experience implementing FAIR data principles (Findable, Accessible, Interoperable, Reusable).
• Proficiency in data curation tools (e.g. Progress Semaphore or similar ontology/terminology management tools).
• Ability to work with cross-functional stakeholders, including scientists, data architects, and domain experts.

Optional Requirements:

It will also be advantageous if you have:

• Familiarity with knowledge graph technologies and AI/analytics-ready data preparation.
• Experience supporting data analytics initiatives through enriched and structured datasets

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