{"id":1748359,"url":"https://alion.io/job/centogene-scientist-mfd-protein-biomarker-assay-development-and-validation","title":"Scientist (m/f/d) (Protein Biomarker Assay Development and Validation)","company":{"id":2140906,"name":"CENTOGENE","domain":"centogene.com","url":"https://alion.io/company/centogene","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Personio","truth_index":null},"role":"Science & Research","role_family":"Science & Research","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Rostock, 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and transferable assay workflows, and support assay transfer and the implementation of new technologies\nWrite high-quality validation documentation in line with internal and regulatory standards (GLP/GCLP)\nDiagnostic quality and complianceDevelop 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)\nSupport clinical studies, from assay qualification to sample analysis and reporting\nHandle patient samples and data responsibly and in compliance with EU data protection law (GDPR) and internal policies\nData analysisAnalyze and interpret experimental data with Excel, GraphPad Prism and R or Python, applying sound statistics to reach clear biological conclusions that guide project decisions\nUse AI tools, including large language models (LLMs), responsibly for data analysis, literature research and documentation, in line with data protection and quality requirements\nWhere relevant, work with structured datasets and databases\nCommunication and collaboration\nWork cross-functionally with R&D, Quality Assurance and external partners\nContribute to SOPs, reports, manuscripts and publications\nPresent your results internally, to partners and at scientific conferences\nYour profile\nRequiredPhD in Biochemistry, Molecular Biology or a related field\nStrong background in protein-focused biochemistry\nHands-on laboratory experience in developing and validating protein assays, e.g., immunoassays\nFamiliarity with working in GLP/GCLP environments\nConfident data analysis with Excel and GraphPad Prism, and working experience with R and/or Python\nFluent English, written and spoken\nGerman at A2 level or higher, and willingness to improve towards B1\nA plusPostdoctoral or industry experience\nExperience with proximity extension assays and their readouts, qPCR and/or next-generation sequencing (NGS)\nKnowledge of diagnostic regulations (e.g., IVDR) and data protection requirements (GDPR)\nExperience with cellular models, ideally in a neurological context\nExperience with, or strong interest in, the responsible use of LLMs and other AI tools in scientific work\nExposure to SQL or database environments\nHow you workYou plan, run and document your own studies in a structured and reliable way\nYou communicate results clearly, in writing and in presentations\nYou bring your own ideas, question existing approaches and want to help shape how the team works\nWhy us?\nTranslational research with direct relevance for patients with rare and neurodegenerative diseases\nAn international, multidisciplinary team and close collaboration with pharmaceutical partners\nRoom to take ownership of your projects, help build the team and keep learning\nSupport with German language courses\nA 12-month contract with the possibility of transitioning to a permanent 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