Assistant QM & Data QA (mfd)

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. 

Your 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 

Qualifications :

What you bring 

• Bachelors or Masters 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 

Additional Information :

What we offer

• A temporary contract with the possibility of extension and the prospect of a permanent contract
• An entry-level role with the opportunity to learn develop and grow within the company 
• A small focused team with short decision paths in a collaborative environment where your ideas matter
• Flexible working hours within team/project requirements (flexible working hours with core hours)
• A corporate culture that values respect diversity and social responsibility
• Company pension scheme
• Additional benefits: company bonuses and access to corporate benefits (employee discounts with numerous providers) 

Remote Work :

No

Employment Type :

Full-time