Technical Product Analyst, Laboratory Instrument Data

This is a fully remote position, open to applicants in Czechia.

📋 Description

• Define the requirements for data quality, acceptance criteria, validation strategies, and testing scenarios.

• Facilitate the comprehensive onboarding and validation of scientific data and ASM converters.

• Lead sessions to gather requirements and insights with Scientists, Subject Matter Experts (SMEs), and business stakeholders.

• Analyze data from laboratory instruments and identify essential scientific data fields.

• Develop and review source-to-target mappings along with data transformation specifications.

• Collaborate with Semantic Engineers to align data with the Allotrope Ontology and ASM schemas.

• Validate outputs from converters, ensuring that scientific meaning and data integrity are maintained.

• Execute and coordinate validation processes including source-to-target validation, verification of data transformations, data quality assessments, traceability testing, semantic mapping validation, and converter output validation.

• Review test outcomes, validation documentation, defects, and metrics related to data quality.

• Assist in defect triage, root-cause analysis, risk evaluation, and remediation efforts.

• Guarantee traceability among requirements, mappings, testing scenarios, and validation documentation.

• Aid in release-readiness evaluations and approval workflows.

• Create and review Software Development Life Cycle (SDLC) and validation documentation.

• Oversee risks, issues, dependencies, and obstacles to delivery.

• Coordinate activities among Scientific, Data Engineering, Quality, Product, Architecture, and vendor teams.

• Promote the continuous enhancement of data quality processes, validation methodologies, and reusable testing assets.

• Ensure compliance with data governance, SDLC, quality, and regulatory standards.

⛳️ Requirements

• Bachelor's or master's degree in Computer Science, Engineering, Data Science, Information Systems, Biotechnology, or a related discipline, or equivalent professional experience.

• Over 6 years of experience in Data Engineering, Data Integration, Data Management, Data Quality, or other data-centric roles.

• In-depth understanding of data quality, validation, modeling, mapping, transformation, source-to-target mapping, and data traceability.

• Proven experience in defining requirements, acceptance criteria, validation strategies, and testing scenarios.

• Experience in validating intricate data transformations and integrations.

• Familiarity with the software development lifecycle (SDLC) and data lifecycle management practices.

• Knowledge of data governance principles.

• Proven ability to engage with non-technical stakeholders to discern business or scientific needs.

• Skilled at translating business or scientific requirements into precise data and validation specifications.

• Experience in documenting and managing risks, issues, dependencies, and decisions.

• Strong analytical and problem-solving abilities.

• Excellent communication and stakeholder management skills.

• Experience collaborating with cross-functional teams including Engineering, Quality, Product, Business, SMEs, and external vendors.

• Background in pharmaceutical, biotechnology, life sciences, or drug discovery settings is a plus.

• Familiarity with scientific or laboratory data is advantageous.

• Understanding of laboratory workflows and data from laboratory instruments is a plus.

• Experience in data onboarding, integration, migration, transformation, or validation projects is a plus.

• Knowledge of Allotrope Foundation standards is a plus.

• Familiarity with Allotrope Simple Model (ASM) is a plus.

• Knowledge of ontologies, semantic models, or metadata management is a plus.

• Experience with tools such as Jira, Confluence, VERA, Xray, Mural, or similar is a plus.

• Experience with automated data validation or testing frameworks is a plus.

🏝️ Benefits

• Freelance / contract engagement.

• Remote/hybrid work arrangement.

• 40 hours/week.

• Start date in October/November 2026.