Ballerup Kommune, Ballerup Kommune, Danmark
Consultys Denmark
Fuldtid
As a Data Manager in Preclinical & LIMS Testing, you will support the management, integration, quality control, and validation of scientific data generated within biologics research programs, with a strong focus on antibody-related activities. You will work closely with data managers, scientists, data governance teams, and IT product teams to ensure data quality, consistency, and successful deployment of a new LIMS environment.
Your Responsibilities
- Execute functional and technical testing activities related to LIMS system enhancements and implementations.
- Challenge business requirements and validate implemented functionalities.
- Perform data integration activities and database quality control checks.
- Develop, review, and maintain user guides, training materials, business rules documentation, and process documentation in English.
- Ensure understanding and integration of preclinical assays within the LIMS ecosystem.
- Monitor and validate data flows between data platforms, master data systems, and business applications.
- Support the implementation of Data Integrity requirements and FAIR data principles.
- Collaborate with Agile product teams and scientific stakeholders to support data-driven decisions.
- Produce validation documentation, testing reports, meeting minutes, and activity reports.
Your Profile
- Master's degree or higher in Life Sciences, Biotechnology, Bioinformatics, Pharmacology, Data Science, or a related scientific field.
- Minimum 5 years of experience in Data Management within pharmaceutical, biotechnology, or Life Sciences environments.
- Proven experience working with preclinical research data.
- Significant experience in application testing, validation, and user acceptance testing activities.
- Experience within biologics research environments, ideally focused on antibody development.
- Previous experience with LIMS platforms; Benchling experience is considered a strong asset.
- Strong understanding of data management principles and data governance.
- Knowledge of biologics and antibody research.
- Understanding of sequencing, biology, and pharmacology related to antibodies.
- Familiarity with MDM and reference data management systems.
- Proficiency with SQL and advanced Excel.
- Practical knowledge of Python and/or R.
- Experience with data quality control, data integration, and validation processes.
- Fluent English, both written and spoken; French is a plus.