Assistant QM & Data QA (m/f/d)

Company Description

At QIMA, we are on a mission to offer our clients services they can trust. Operating in over 100 countries, we serve the consumer products, food, and life sciences industries and help more than 30,000 brands, retailers, manufacturers, and growers achieve quality excellence.

Our QIMA Life Sciences Division brings together a network of laboratories, including QIMA Monasterium. QIMA Life Sciences is a key player in contract research for the cosmetics, nutraceutical, dermatology, pharmaceutical, and biotech sectors. With over 10\.000 m² of lab space across Europe and South America, we offer comprehensive services in bio\-prediction, preclinical efficacy evaluation, and clinical trials.

QIMA Monasterium is based in Münster, Germany, and specializes in pre\-clinical and clinical services in dermatology for therapeutics, cosmeceutical, and nutraceutical applications, offering among other clinically relevant ex vivo and in vivo pre\-clinical models and state\-of\-the\-art techniques.

Scientific excellence, attention to detail, and a passion for progress define what we do. To strengthen our team, we are looking for a motivated Assistant Quality Management and Data Quality Assurance (m/f/d).

Job Description

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

• 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

• 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)

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