- Design, plan and execute development and validation studies for protein-based biomarker assays, e.g., ELISA and other immunoassays, proximity extension assays (PEA) and functional assays
- Build robust, scalable and transferable assay workflows, and support assay transfer and the implementation of new technologies
- Write high-quality validation documentation in line with internal and regulatory standards (GLP/GCLP)
- Develop and validate assays to quality standards suitable for diagnostic use, including potential in-house IVD assays in line with applicable EU regulations (e.g., IVDR)
- Support clinical studies, from assay qualification to sample analysis and reporting
- Handle patient samples and data responsibly and in compliance with EU data protection law (GDPR) and internal policies
- Analyze and interpret experimental data with Excel, GraphPad Prism and R or Python, applying sound statistics to reach clear biological conclusions that guide project decisions
- Use AI tools, including large language models (LLMs), responsibly for data analysis, literature research and documentation, in line with data protection and quality requirements
- Where relevant, work with structured datasets and databases
Communication and collaboration
- Work cross-functionally with R&D, Quality Assurance and external partners
- Contribute to SOPs, reports, manuscripts and publications
- Present your results internally, to partners and at scientific conferences
