gLIMS Specialist
Lonza is hiring a gLIMS Specialist in San Jose, United States. Level rates it ; you can apply on Lonza.
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gLIMS Specialist
Location: San Jose, Costa Rica
Join Lonza's global digital quality and laboratory operations network as a gLIMS Specialist. In this role, you will help ensure the accuracy, compliance, and reliability of critical laboratory information systems that support the production of life-changing therapies worldwide. Working closely with global and site-based stakeholders, you will play a key role in maintaining data integrity, supporting validation activities, and driving operational excellence across the gLIMS (LabVantage) landscape.
What you will get:
- An agile career and dynamic working culture.
- An inclusive and ethical workplace.
- Compensation programs that recognize high performance.
- A variety of benefits dependent on role and location.
What you will do:
- Execute end-to-end master data activities within gLIMS, including data creation, verification, approval, and transfer in line with established SOPs.
- Review and validate master data requests to ensure alignment with global standards and data governance requirements.
- Support KPI reporting and periodic system reviews through data extraction, analysis, and reporting activities.
- Execute validation and regression test scripts for system changes, upgrades, and enhancement projects while maintaining accurate documentation.
- Support compliance activities by managing validation records and documentation in accordance with change management procedures.
- Collaborate with Global LIMS Office (GLO), Local LIMS Office (LLO), Quality Control, and IT teams to ensure effective and compliant system operations.
- Identify, investigate, and escalate system or process issues while contributing to continuous improvement initiatives and data quality monitoring.
What we are looking for:
- Bachelor's degree in a technical or scientific discipline such as Information Technology, Chemistry, Life Sciences, or a related field, or equivalent professional experience.
- Experience supporting LIMS, laboratory systems, QC operations, or other regulated digital environments.
- Knowledge of GMP requirements, data integrity principles, and quality system compliance within regulated industries.
- Experience with computer system validation (CSV), including test script creation and execution; LabVantage LIMS experience is advantageous.
- Strong attention to detail with the ability to manage master data accurately and consistently.
- Effective communication and customer support skills, including the ability to create training materials and support end users.
- Proficiency with Microsoft Office applications; experience with SAP, Veeva, and/or KNEAT is beneficial. Fluent English required.
About Lonza
At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of.
Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we offer equal employment opportunities to all qualified applicants regardless of race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by law. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board.
Ready to shape the future of life sciences? Apply now.
How we rate this
gLIMS Specialist at Lonza rates 26 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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