Data Quality Analyst – ADE ASM Converter Development

• Define data quality requirements, acceptance criteria, validation approaches, and test scenarios
• Support end-to-end onboarding and validation of scientific data and ASM converters
• Lead requirements and discovery sessions with Scientists, SMEs, and business stakeholders
• Analyze laboratory instrument data and define key scientific data fields
• Create and review source-to-target mappings and data transformation requirements
• Collaborate with Semantic Engineers on mapping data to the Allotrope Ontology and ASM schemas
• Validate converter outputs and ensure scientific meaning and data integrity are preserved
• Perform and coordinate source-to-target validation, data transformation verification, data quality checks, traceability testing, semantic mapping validation, and converter output validation
• Review test results, validation evidence, defects, and data quality metrics
• Support defect triage, root-cause analysis, risk assessment, and remediation
• Ensure traceability between requirements, mappings, test scenarios, and validation evidence
• Support release-readiness assessments and approval processes
• Create and review SDLC and validation documentation
• Manage risks, issues, dependencies, and delivery blockers
• Coordinate activities across Scientific, Data Engineering, Quality, Product, Architecture, and vendor teams
• Support continuous improvement of data quality processes, validation methodologies, and reusable testing assets
• Ensure adherence to data governance, SDLC, quality, and compliance requirements

• Bachelor's or master's degree in Computer Science, Engineering, Data Science, Information Systems, Biotechnology, or a related field, or equivalent professional experience
• 6+ years of experience in Data Engineering, Data Integration, Data Management, Data Quality, or related data-focused roles
• Strong understanding of data quality, data validation, data modeling, data mapping, data transformation, source-to-target mapping, and data traceability
• Experience defining requirements, acceptance criteria, validation approaches, and test scenarios
• Experience validating complex data transformations and integrations
• Understanding of the software development lifecycle (SDLC) and data lifecycle management
• Knowledge of data governance principles
• Experience working with non-technical stakeholders to understand business or scientific requirements
• Ability to translate business or scientific requirements into clear data and validation specifications
• Experience documenting and managing risks, issues, dependencies, and decisions
• Strong analytical and problem-solving skills
• Strong communication and stakeholder management skills
• Experience working with cross-functional teams including Engineering, Quality, Product, Business, SMEs, and external vendors
• Experience within pharmaceutical, biotechnology, life sciences, or drug discovery environments
• Experience working with scientific or laboratory data
• Understanding of laboratory workflows and laboratory instrument data
• Experience with data onboarding, integration, migration, transformation, or validation projects
• Knowledge of Allotrope Foundation standards
• Experience with Allotrope Simple Model (ASM)
• Knowledge of ontologies, semantic models, or metadata management
• Experience with Jira, Confluence, VERA, Xray, Mural, or similar tools
• Experience with automated data validation or testing frameworks

• Remote work arrangement
• Freelance / contract engagement
• 40 hours/week time allocation
• Opportunity to work with a global pharmaceutical company in Prague