B2E Consulting
Data Steward
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KZ-4392; Data Curator
Location: Remote (UK based) OR Hybrid - onsite Cheshire/Lancashire area
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.
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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.
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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
ADDITIONAL NOTES:
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