projectSuccessfully occupied
Rate
160 000 CZK - 200 000 CZK
/
month
The reward is calculated upon delivery of 20 MD per month (1MD=8h)
Form of cooperation
Freelance:
Full-time
Sector
Healthcare and Pharmacy
Location
Praha, 80% Remote
Project duration
2 months with possibility of extension
Period of cooperation
01.11.2026
- 31.12.2026
Start date
01.11.2026 or by agreement
Project duration
2 months with possibility of extension
Period of cooperation
01.11.2026
- 31.12.2026
Start date
01.11.2026 or by agreement
Languages
-
English
-
active, B2/C1/C2
Project description
- end-to-end delivery of the ASM converter from requirements gathering, through semantic modeling and validation, to release readiness and deployment
- defining the scope of the converter, Merck Key Fields, scientific requirements, validation strategy, acceptance criteria, and test scenarios
- leading discovery and working sessions with Scientists, SMEs, and other stakeholders for data collection from laboratory instruments
- collaboration with Semantic Engineers and vendors on mapping instrument data to the Allotrope Ontology and defining semantic mappings and schema extensions
- coordinating converter development with vendors and technical teams according to scientific, technical, quality, compliance, and business requirements
- leading pre-validation activities including data sample review, semantic mapping validation, dry-run ASM assessments, and converter output verification
- leading and providing expert oversight to the Quality Engineering squad for source-to-target validation, data transformation verification, traceability testing, and converter quality evaluation
- reviewing validation results, test evidence, defects, and quality metrics to support release readiness
- leading defect triage, issue resolution, risk assessments, and planning of corrective actions throughout the converter's lifecycle
- coordinating test reviews, approval workflows, Jira traceability, audit readiness, and release sign-offs
- creating and revising SDLC documentation, mapping specifications, lifecycle documents, and validation artifacts
- managing risks and dependencies, and communicating status with Delivery Orchestrators, Product Owners, Business Leads, and other stakeholders
- leading and mentoring team members and promoting standards for ASM, Allotrope, semantic modeling, validation methodologies, and scientific data quality
- improving converter quality, validation efficiency, documentation standards, process standardization, and reusable validation artifacts
- ensuring compliance with Quality Engineering, SDLC, data integrity, data governance, and regulatory compliance requirements
Project requirements
- advanced experience with:
- minimum of 6 years of experience in Data Engineering, Data Integration, Data Management, or another data-focused role
- Data Quality Assurance including defining solution scope, requirements, acceptance criteria, validation approaches, and test scenarios according to business and data requirements
- leading small technical teams, prioritizing work, removing impediments, and managing execution according to project milestones
- experience with:
- collaborating with non-technical stakeholders from business or scientific environments and translating their requirements into scalable data solutions
- managing and documenting risks, issues, dependencies, decisions, and stakeholder expectations throughout the project
- collaborating across Business, Scientific SMEs, Engineering, Quality, Product, Architecture, and external vendors
- facilitation, communication, stakeholder management, and analytical problem-solving
- advanced knowledge of:
- data modeling, data mapping, data transformation, data quality, and traceability
- knowledge of:
- software lifecycle, data lifecycle management, and data governance
- university degree in Computer Science, Engineering, Data Science, Information Systems, Biotechnology, or a related field, or equivalent professional experience
- advantageous:
- experience in the pharmaceutical industry and drug development process
- experience with scientific data and laboratory workflows
- leading data onboarding, integration, validation, migration, or transformation initiatives in a complex business environment
- experience with Allotrope data schemas, especially the Allotrope Simple Model
- experience with Jira, VERA, Xray, Confluence, Mural, or automated validation testing tools
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