Automated Validation Tester – Laboratory Data, Robot Framework

• Design, build, maintain, and execute Robot Framework validation suites for laboratory instrument data converted to Allotrope Simple Model (ASM) JSON
• Translate business requirements, source-to-target mappings, SOPs, and validation standards into automated schema, mapping, semantic, and formatting checks
• Develop Python readers, custom Robot Framework keywords, and reusable validation libraries
• Validate data across JSON, CSV, XML, XLS/XLSX, structured text, and instrument-specific formats
• Perform smoke, functional, regression, UAT, and cross-version testing across converter releases and laboratory datasets
• Conduct root-cause analysis to distinguish converter defects, source-data issues, schema changes, and automation defects
• Maintain end-to-end test traceability, including mapping identifiers, defect/finding keys, execution provenance, and auditable test evidence
• Use SQL, DuckDB, and Parquet to analyze validation results and identify new, recurring, resolved, reopened, and regressed findings
• Prepare and publish Test Summary, Defect Summary, HTML/JSON, and trend reports
• Maintain automated execution and reporting through GitHub Actions, containerized environments, Artifactory, Jira, and Xray
• Participate in test reviews, troubleshooting, defect triage, documentation, and technical meetings within a distributed international team

• 5+ years of software quality engineering / test automation experience
• At least 2 years of data-centric validation/testing experience
• At least 2 years of hands-on Robot Framework experience
• Experience with reusable resources and libraries, custom Python keyword libraries, parameterized/data-driven testing, and Robot Framework output analysis
• Strong Python development skills for parsing, transformation, JSON traversal, numerical comparison, and automated validation
• Strong SQL skills for reconciliation, data-quality analysis, regression trending, and defect investigation
• Experience validating source-to-target mappings across JSON, CSV, XML, XLS/XLSX, and structured/semi-structured data
• Understanding of JSON Schema, semantic data models, controlled vocabularies, and schema-driven validation
• Experience with smoke, functional, regression, and UAT testing, including defect lifecycle management and root-cause analysis
• Experience with Git and CI/CD, preferably GitHub Actions
• Experience with containerized test execution, dependency management, and automated reporting
• Experience with Jira and Xray
• Strong written and verbal English communication skills
• Highly desirable: experience with Allotrope Simple Model (ASM) or the broader Allotrope ecosystem
• Highly desirable: experience working with scientific or laboratory instrument data
• Highly desirable: experience in pharmaceutical, biotechnology, life sciences, or other regulated environments
• Highly desirable: knowledge of GxP validation and audit-ready test evidence
• Highly desirable: experience with DuckDB and Parquet
• B.A. or B.S. degree, preferably in IT, Computer Science, Engineering, or a related discipline; alternatively, equivalent relevant professional experience

• Freelance / Contract
• 40 hours/week
• Remote work stated in the posting
• Start date: October/November, 2026