Lab Data Architect: Secure, Reusable R&D Data

GlaxoSmithKline; Rixensart; Hybride; EUR 69 000 - 114 000; Plein temps

Résumé du poste

GlaxoSmithKline is seeking a senior professional to lead lab data solutions across R&D. You will define standards, storage and archiving strategies, working with scientists, IT, quality and vendors to ensure data integrity and regulatory compliance.

The role emphasizes driving data quality, ensuring data is secure, findable and reusable, and coordinating cross-functional projects with a focus on scalable data governance and training.

Qualifications

• Degree in life sciences, data science, bioinformatics, engineering or related discipline.
• Minimum 5 years’ experience in lab data management or data stewardship in R&D or regulated environments.
• Experience defining metadata standards, data models or controlled vocabularies for lab data.
• Experience with data storage, archival strategies or data lifecycle management for scientific data.
• Ability to work with cross-functional teams including scientists, IT, quality and vendors.
• Fluent English (written and spoken); French or Dutch is a plus.

Responsabilités

• Lead end-to-end lab data management projects from requirements to delivery and handover.
• Define and implement data standards, metadata models and file formats to improve findability and reuse.
• Design and maintain strategies for secure storage, archiving and retrieval of electronic lab data.
• Collaborate with IT, validation and quality to ensure data integrity, security and regulatory compliance.
• Advise laboratory teams on data capture from instruments and on integration with lab systems.
• Provide training, governance and change support to help teams adopt new lab data practices.

Connaissances

Cross-functional collaboration

Data governance

Data analysis

Lab data management

Data quality

Communication

Formation

Bachelor's degree in life sciences or related

Advanced degree preferred

Outils

Python

SQL

ELN

LIMS

Description du poste

GlaxoSmithKline is seeking a senior professional to lead lab data solutions across R&D. You will define standards, storage and archiving strategies, working with scientists, IT, quality and vendors to ensure data integrity and regulatory compliance.

The role emphasizes driving data quality, ensuring data is secure, findable and reusable, and coordinating cross-functional projects with a focus on scalable data governance and training.