Technical Consultant, Healthcare Systems
Philips
Advise healthcare clients and deliver technical solutions for RIS, PACS, HL7, and DICOM environments. The role is based onsite in India and focuses on end-to-end implementations and integrations.
Open
futureproof consulting is a Czech B2B consultancy that helps organizations address complex technology and data challenges. Its work spans data and analytics, cybersecurity, IT infrastructure, and related consulting and marketing services, combining strategic advice with practical implementation. The firm supports clients in securing and managing information, improving the value of analytics platforms, and maintaining the infrastructure needed for enterprise operations. Founded in 2015 and based in Říčany, it operates as a small specialist team serving business clients.
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.
Description
- 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
Requirements
- 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
Benefits
- 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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