Data Quality Analyst – ADE ASM Converter Development

This is a fully remote position, open to applicants in Czechia.

📋 Description

• Establish data quality requirements, acceptance criteria, validation methodologies, and testing scenarios.

• Assist in the comprehensive onboarding and validation of scientific data and ASM converters.

• Facilitate requirements and discovery meetings with Scientists, Subject Matter Experts (SMEs), and business stakeholders.

• Examine laboratory instrument data and identify critical scientific data fields.

• Develop and assess source-to-target mappings along with data transformation requirements.

• Collaborate with Semantic Engineers to map data to the Allotrope Ontology and ASM schemas.

• Validate converter outputs to maintain scientific meaning and ensure data integrity.

• Conduct and oversee source-to-target validation, data transformation verification, data quality assessments, traceability testing, semantic mapping validation, and converter output validation.

• Analyze test results, validation documentation, defects, and data quality metrics.

• Assist in defect triage, root-cause analysis, risk evaluation, and corrective actions.

• Maintain traceability among requirements, mappings, testing scenarios, and validation documentation.

• Aid in release-readiness assessments and approval workflows.

• Generate and evaluate SDLC and validation documentation.

• Manage risks, issues, dependencies, and delivery obstacles.

• Coordinate activities among Scientific, Data Engineering, Quality, Product, Architecture, and vendor teams.

• Promote continuous enhancement of data quality processes, validation methodologies, and reusable testing assets.

• Ensure compliance with data governance, SDLC, quality, and regulatory standards.

⛳️ Requirements

• Bachelor's or master's degree in Computer Science, Engineering, Data Science, Information Systems, Biotechnology, or a related discipline, or equivalent professional experience.

• Over 6 years of experience in Data Engineering, Data Integration, Data Management, Data Quality, or similar data-centric roles.

• In-depth knowledge of data quality, data validation, data modeling, data mapping, data transformation, source-to-target mapping, and data traceability.

• Proven experience in defining requirements, acceptance criteria, validation methodologies, and testing scenarios.

• Skilled in validating complex data transformations and integrations.

• Familiarity with the software development lifecycle (SDLC) and data lifecycle management.

• Understanding of data governance principles.

• Experience collaborating with non-technical stakeholders to gather business or scientific requirements.

• Ability to convert business or scientific requirements into precise data and validation specifications.

• Proficient in documenting and managing risks, issues, dependencies, and decisions.

• Strong analytical and problem-solving capabilities.

• Excellent communication and stakeholder management skills.

• Experience working within cross-functional teams, including Engineering, Quality, Product, Business, SMEs, and external vendors.

• Background in pharmaceutical, biotechnology, life sciences, or drug discovery sectors.

• Familiarity with scientific or laboratory data.

• Knowledge of laboratory workflows and laboratory instrument data.

• Experience with data onboarding, integration, migration, transformation, or validation initiatives.

• Understanding of Allotrope Foundation standards.

• Familiarity with Allotrope Simple Model (ASM).

• Knowledge of ontologies, semantic models, or metadata management.

• Experience using Jira, Confluence, VERA, Xray, Mural, or similar tools.

• Experience with automated data validation or testing frameworks.

🏝️ Benefits

• Flexible remote work arrangement.

• Engagement as a freelancer or contractor.

• 40 hours per week time commitment.

• Opportunity to collaborate with a leading global pharmaceutical company based in Prague.