Technical Product Analyst, Laboratory Instrument Data

Job not on LinkedIn

🔥 15 minutes ago

🇨🇿 Czechia – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🔍 Product Analyst

👻 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

• Define data quality requirements, acceptance criteria, validation approaches, and test scenarios • Support end-to-end onboarding and validation of scientific data and ASM converters • Lead requirements and discovery sessions with Scientists, SMEs, and business stakeholders • Analyze laboratory instrument data and define key scientific data fields • Create and review source-to-target mappings and data transformation requirements • Collaborate with Semantic Engineers on mapping data to the Allotrope Ontology and ASM schemas • Validate converter outputs and ensure scientific meaning and data integrity are preserved • Perform and coordinate source-to-target validation, data transformation verification, data quality checks, traceability testing, semantic mapping validation, and converter output validation • Review test results, validation evidence, defects, and data quality metrics • Support defect triage, root-cause analysis, risk assessment, and remediation • Ensure traceability between requirements, mappings, test scenarios, and validation evidence • Support release-readiness assessments and approval processes • Create and review SDLC and validation documentation • Manage risks, issues, dependencies, and delivery blockers • Coordinate activities across Scientific, Data Engineering, Quality, Product, Architecture, and vendor teams • Support continuous improvement of data quality processes, validation methodologies, and reusable testing assets • Ensure adherence to data governance, SDLC, quality, and compliance requirements

🎯 Requirements

• Bachelor's or master's degree in Computer Science, Engineering, Data Science, Information Systems, Biotechnology, or a related field, or equivalent professional experience • 6+ years of experience in Data Engineering, Data Integration, Data Management, Data Quality, or related data-focused roles • Strong understanding of data quality, data validation, data modeling, data mapping, data transformation, source-to-target mapping, and data traceability • Experience defining requirements, acceptance criteria, validation approaches, 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 understand business or scientific requirements • Ability to translate business or scientific requirements into clear data and validation specifications • Experience documenting and managing risks, issues, dependencies, and decisions • Strong analytical and problem-solving skills • Strong communication and stakeholder management skills • Experience working with cross-functional teams including Engineering, Quality, Product, Business, SMEs, and external vendors • Experience within pharmaceutical, biotechnology, life sciences, or drug discovery environments is nice to have • Experience working with scientific or laboratory data is nice to have • Understanding of laboratory workflows and laboratory instrument data is nice to have • Experience with data onboarding, integration, migration, transformation, or validation projects is nice to have • Knowledge of Allotrope Foundation standards is nice to have • Experience with Allotrope Simple Model (ASM) is nice to have • Knowledge of ontologies, semantic models, or metadata management is nice to have • Experience with Jira, Confluence, VERA, Xray, Mural, or similar tools is nice to have • Experience with automated data validation or testing frameworks is nice to have

🏖️ Benefits

• Freelance / contract engagement • Remote/hybrid work arrangement • 40 hours/week • Start date in October/November 2026