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Automated Validation Tester – Laboratory Data / Robot Framework

Role overview

Qualifications

  • 5+ years of software quality engineering / test automation experience
  • Strong Python development skills
  • Strong SQL skills for reconciliation and data-quality analysis
  • At least 2 years of hands-on Robot Framework experience

Responsibilities

  • Design, build, maintain, and execute Robot Framework validation suites
  • Translate business requirements into automated schema, mapping, and formatting checks
  • Validate data across various formats including JSON, CSV, XML, and XLS/XLSX
  • Conduct root-cause analysis to distinguish between defects

Key facts

  • Remote from: Anywhere
  • Freelance
  • Mid-level (2-5 years)
  • English

Hard skills

Other skills

  • Communication
  • Teamwork
  • Problem Solving

About the company

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futureproof consulting

IT Services & IT Consulting

We are an IT recruitment and professional staffing provider committed to futureproofing the careers of IT professionals and the IT investments of our clients. Our dedicated team connects exceptional professionals with reputable companies, ranging from startups and digital agencies to large consultancies and Fortune 500s. We bridge the gap between talent and opportunity, making the recruitment process and cooperation seamless, successful, and enjoyable. Established in 2015, we build on years of experience in the IT industry and staffing services. While our roots are in data analytics and cybersecurity, we have expanded our expertise to include a wide range of IT areas, including DevOps, Cloud, Data, Project Management, and Software Development. With dozens of contractors working on our clients' projects, we have built a reputation for delivering exceptional results and providing excellent service. We value professionalism, integrity, and a passion for excellence. Our commitment to building lasting relationships with our clients and candidates sets us apart. Whether you're looking for your next career move or searching for the perfect candidate to join your team, we're here to help you succeed.

Company details

Company typeStartup
IndustryIT Services & IT Consulting
Company size2 - 10

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Job description

This is a remote position.

We are looking for an experienced Automated Validation Tester to join the PLA sub-team within a global digital and scientific data program.

The project focuses on the automated validation of laboratory instrument data converted into Allotrope Simple Model (ASM) JSON. The successful candidate will design and maintain automated validation frameworks that ensure scientific data is accurately converted, mapped, structured, and validated across multiple laboratory instruments and converter releases.

This is a highly technical, data-focused QA role combining Robot Framework, Python, SQL, JSON/schema validation, test automation, and scientific laboratory data.

Key Responsibilities

  • 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 between 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, including:

    • reusable resources and libraries

    • custom Python keyword libraries

    • parameterized/data-driven testing

    • Robot Framework output analysis

  • Strong Python development skills, particularly 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.

  • Experience working with scientific or laboratory instrument data.

  • Experience within pharmaceutical, biotechnology, life sciences, or other regulated environments.

  • Knowledge of GxP validation and audit-ready test evidence.

  • Experience with DuckDB and Parquet.

Education

B.A. or B.S. degree, preferably in IT, Computer Science, Engineering, or a related discipline; alternatively, equivalent relevant professional experience.



Benefits

  • Location: Hybrid/Remote
  • Contract Type: Freelance / Contract
  • Start date: October/November, 2026
  • Time Allocation: 40 hours/week
  • Global Pharmaceutical Company in Prague


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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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