Automated Validation Tester – Laboratory Data, Robot Framework

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🔥 0 minutes ago

🇨🇿 Czechia – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🔧 QA Engineer (Quality Assurance)

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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futureproof consulting

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2015

💼 Consulting

📣 Marketing

🔒 Cybersecurity

Consulting • Marketing • Cybersecurity

futureproof consulting is a consulting firm focused on data, analytics, cybersecurity, and IT infrastructure. They provide advisory and implementation services to help organizations secure, manage, and derive value from their data and analytics platforms, and support enterprise infrastructure needs. Based in Říčany, Czech Republic, they operate as a B2B consultancy and publish contact and company details for client engagement.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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