QMS Specialist 80%-100% (m/f/d)
Lonza is hiring a QMS Specialist 80%-100% (m/f/d). Level rates it ; you can apply on Lonza.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Level classifies it as a mid-level role.
- Level lists 566 other open roles at Lonza.
AI in this role
The actual location of this job is in Suzhou,China.
Join us in Suzhou as a QMS Specialist, where you will support global quality strategies and ensure compliance across our operations. This role offers the opportunity to contribute to continuous improvement and play a key role in delivering high-quality therapies.
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.
- The full list of our global benefits can be found here: https://www.lonza.com/careers/benefits
What you will do:
- Collect, analyze, and report key quality metrics (weekly, monthly, quarterly) to support global strategies, management reviews, and leadership discussions.
- Maintain and update quality system records to ensure compliance and data quality.
- Support the Supplier Quality Program by coordinating supplier assessments, tracking supplier certifications and licenses, assisting with Quality Agreement management, and maintaining supplier documentation.
- Provide support for internal and external audits and inspections, including document preparation, request tracking, auditing, and follow-up on audit observations.
- Maintain and improve QMS databases, SharePoint sites, and other tools used to track quality documentation, tasks, and projects.
- Support product and site certification, including document preparation, renewal processes, and coordination with certification bodies.
- Prepare presentations and dashboards (e.g., Power BI, slide decks) and communicate with suppliers, internal teams, and customers to support quality and compliance activities.
What we are looking for:
- Bachelor’s degree in a scientific discipline (e.g., Quality, Life Sciences, Engineering) or equivalent experience.
- 2–5 years of experience in Quality Assurance, Quality Systems, or a related GxP environment.
- Knowledge of quality system principles (ISO 9001, IPEC-PQG, GMP, GxP regulations) and audit practices.
- Strong organizational skills with the ability to manage multiple priorities and meet deadlines.
- Proficiency in Microsoft Office (Excel, PowerPoint, Word) and familiarity with SharePoint, Power BI, SAP, Salesforce, or similar systems preferred.
- Excellent communication skills, with the ability to interact effectively with suppliers, auditors, and cross-functional teams.
- Detail-oriented with strong problem-solving skills and a continuous improvement mindset.
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 value diversity and are committed to creating an inclusive environment for all employees. 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
QMS Specialist 80%-100% (m/f/d) at Lonza rates 32 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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