Assistant QM & Data QA (m/f/d)
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Responsibilities
- Support the verification and validation of scientific data
- Perform data quality checks to ensure accuracy, completeness, and consistency
- Review collected data and documentation for plausibility and compliance with internal standards
- Prepare and organize data sets and related records for further analysis and internal processing
- Support the maintenance of quality management documentation, including document creation, revision, version control, and release
- Assist in monitoring routine workflows in accordance with internal procedures and ISO 9001 requirements
- Help ensure that records, templates, and documentation are complete, traceable, and up to date
- Work closely with operational and scientific colleagues to support reliable, well-documented, and high-quality processes
- What you bring
- Bachelor's or Master's degree in life sciences, natural sciences, or a related field, or training as a medical, biological, or chemical laboratory technician
- Strong interest in quality management, data quality, and structured documentation in a scientific environment
- First practical experience with scientific data, laboratory documentation, or quality-related processes is an advantage, but not required
- Good working knowledge of Excel; experience with scientific or statistical software is a plus
- A careful, precise, and reliable way of working, with strong attention to detail
- Structured documentation and record-keeping skills
- A proactive attitude, willingness to learn, and a strong sense of responsibility
- Good written and spoken English; German skills are a plus
Benefits
Additional Information
Are you a recent graduate or early in your career and interested in scientific processes, data accuracy, and high-quality documentation? Do you enjoy working carefully and methodically, with an eye for spotting inconsistencies in data and records? Then this role could be a great opportunity to learn, develop, and grow in quality management and data quality assurance. In this position, you will support the Data Manager and the Head of Operations in reviewing scientific data, checking documentation, and helping to maintain quality-related processes in our daily operations. This role is especially suitable for graduates or early-career candidates who are looking to build hands-on experience in a regulated scientific environment in an industry setting. Over time, you will have the opportunity to deepen your knowledge and hands-on experience in quality management and data quality assurance and gradually take on more responsibility within the team.
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Company Intel
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