futureproof consulting
futureproof consulting
futureproof consulting — ұйымдарға күрделі технологиялық және деректерге қатысты мәселелерді шешуге көмектесетін чехиялық B2B консалтингтік компания. Оның қызметі деректер мен аналитиканы, киберқауіпсіздікті, IT инфрақұрылымын және соған байланысты консалтинг пен маркетинг қызметтерін қамтиды; стратегиялық кеңесті практикалық іске асырумен ұштастырады. Компания клиенттерге ақпаратты қорғауға және басқаруға, аналитикалық платформалардың құндылығын арттыруға, сондай-ақ кәсіпорын операцияларына қажетті инфрақұрылымды қолдауға көмектеседі. 2015 жылы құрылған және Říčany қаласында орналасқан компания бизнес клиенттерге қызмет көрсететін шағын, мамандандырылған команда ретінде жұмыс істейді.

Data Quality Analyst – ADE/ASM Converter Development (Remote, Czechia)

Validate scientific and laboratory data alongside ADE and ASM converters. Support data integration, traceability, and quality delivery for a global pharmaceutical company.

Сипаттама

  • Establish data quality requirements, acceptance criteria, validation methods, and test scenarios
  • Support end-to-end onboarding and validation of scientific data and ASM converters
  • Facilitate requirements and discovery sessions with scientists, subject matter experts, and business stakeholders
  • Analyze laboratory instrument data and identify essential scientific data fields
  • Develop and review source-to-target mappings and data transformation requirements
  • Partner with Semantic Engineers to map data to the Allotrope Ontology and ASM schemas
  • Validate converter outputs while preserving scientific meaning and data integrity
  • Conduct and coordinate source-to-target validation, transformation verification, data quality checks, traceability testing, semantic mapping validation, and converter output validation
  • Assess test results, validation evidence, defects, and data quality metrics
  • Assist with defect triage, root-cause analysis, risk evaluation, and remediation
  • Maintain traceability across requirements, mappings, test scenarios, and validation evidence
  • Contribute to release-readiness reviews and approval activities
  • Prepare and review SDLC and validation documentation
  • Track risks, issues, dependencies, and delivery impediments
  • Coordinate work across Scientific, Data Engineering, Quality, Product, Architecture, and vendor teams
  • Improve data quality processes, validation methods, and reusable testing assets
  • Maintain compliance with data governance, SDLC, quality, and regulatory requirements

Талаптар

  • Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, Information Systems, Biotechnology, or a related discipline, or equivalent professional experience
  • At least six years of experience in Data Engineering, Data Integration, Data Management, Data Quality, or a related data-focused role
  • Strong knowledge of data quality, validation, modeling, mapping, transformation, source-to-target mapping, and traceability
  • Experience defining requirements, acceptance criteria, validation methods, 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 clarify business or scientific needs
  • Ability to convert business or scientific requirements into clear data and validation specifications
  • Experience documenting and managing risks, issues, dependencies, and decisions
  • Strong analytical and problem-solving capabilities
  • Strong communication and stakeholder management skills
  • Experience collaborating with Engineering, Quality, Product, Business, subject matter expert, and external vendor teams
  • Experience in pharmaceutical, biotechnology, life sciences, or drug discovery environments
  • Experience working with scientific or laboratory data
  • Understanding of laboratory workflows and instrument data
  • Experience delivering data onboarding, integration, migration, transformation, or validation projects
  • Knowledge of Allotrope Foundation standards
  • Experience with the Allotrope Simple Model (ASM)
  • Knowledge of ontologies, semantic models, or metadata management
  • Experience using Jira, Confluence, VERA, Xray, Mural, or comparable tools
  • Experience with automated data validation or testing frameworks

Артықшылықтар

  • Remote working arrangement
  • Freelance or contract engagement
  • 40-hour-per-week allocation
  • Opportunity to work with a global pharmaceutical company in Prague

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