> Markdown version of [/jobs/ext/3157323-lab-data-manager](https://www.wearedevelopers.com/jobs/ext/3157323-lab-data-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Lab Data Manager

- **Company:** GlaxoSmithKline plc
- **Location:** Rixensart, Belgium (Remote available)
- **Experience:** Expert
- **Salary:** €68,550.0 - €114,250.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Bioinformatics, Information Systems, Computer Literacy, Data Governance, Data Integrity, Data Mining, Data Systems, Information Lifecycle Management, Python (Programming Language), Laboratory Information Management Systems, Metadata Standards, Simple Data Format, SQL Databases, Data Processing, Scripting, Data Storage Technologies, Data Management, Data Pipelines
- **Published:** September 10, 2026
- **Apply:** https://gsk.wd5.myworkdayjobs.com/GSKCareers/job/Belgium-Rixensart/Lab-Data-Manager_447406-1

## About the Role

Degree in life sciences, data science, bioinformatics, engineering or related discipline, or equivalent experience.

 - Minimum 5 years' experience in lab data management, scientific data stewardship or related role within R&D or a regulated environment.
 - Practical experience defining metadata standards, data models or controlled vocabularies for laboratory data.
 - Experience with data storage, archival strategies or data lifecycle management for scientific data.
 - Proven ability to work with cross-functional teams including scientists, IT, quality and vendors.
 - Fluent English, both written and spoken. Knowledge of French or Dutch is a plus.

Preferred Qualification
If you have the following characteristics, it would be a plus:

 - Advanced degree in a relevant field such as bioinformatics, data science, or life sciences.
 - Experience with lab information systems, instrument data pipelines or ELN/LIMS integration.
 - Familiarity with data integrity principles and regulatory requirements for lab data.
 - Working knowledge of scripting or data tooling (for example Python, SQL) to support data handling.
 - Experience designing training, governance and adoption approaches for new data practices.
 - Prior experience in project management or leading cross-functional data projects.

What you will bring
You are collaborative and practical. You explain technical topics in plain language. You balance risk awareness with pragmatic solutions. You enjoy working with lab teams to turn data into reliable, reusable assets. You are motivated to grow your career while making measurable improvements to how we manage lab data., Artificial Intelligence (AI), Business Analysis, Data Analysis, Data Mining, Digital Fluency, Organization Transformation, Product Development, Project Management, Security System Design

## Description

You will lead delivery of scientific lab data solutions that make data secure, findable and ready for reuse across R&D. You will work closely with lab scientists, IT, quality, validation and suppliers to design and deliver data standards, storage and archiving solutions. We value clear communicators who take a practical, risk-aware approach to improve data quality and lab efficiency. This role offers visible impact, professional growth and the chance to help GSK unite science, technology and talent to get ahead of disease together., This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:

 - 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.
 - Work with IT, validation and quality to ensure solutions meet data integrity, security and regulatory expectations.
 - Advise laboratory teams on data capture from instruments and automated platforms and on integration with lab systems.
 - Provide training, governance and change support to help teams adopt new lab data practices.

Why You?
Work model
This role is hybrid. You will be expected to work regularly on-site at our Belgium site and collaborate with colleagues across regions. Occasional remote work is possible.