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Wallet icon Coin icon Rate 140 000 CZK - 160 000 CZK / month info

info The reward is calculated upon delivery of 20 MD per month (1MD=8h)

Timer icon Form of cooperation Freelance: Full-time
Briefcase icon Sector Healthcare and Pharmacy
Location icon Location Praha, 80% Remote
Project duration 12 months with the possibility of extension
Period of cooperation 16.11.2026 - 15.11.2027
Start date 16.11.2026 or by agreement
Project duration 12 months with the possibility of extension
Period of cooperation 16.11.2026 - 15.11.2027
Start date 16.11.2026 or by agreement

Languages

  • English flag English - active, B2/C1/C2

Project description

  • development and implementation of ASM converters for processing scientific data according to Allotrope standards
  • ensuring scientific correctness, technical quality, and compliance of delivered solutions with data governance and compliance requirements
  • leading the delivery of converters from requirements gathering through semantic modeling and validation to release preparation and deployment
  • defining solution scope, validation strategy, acceptance criteria, and test scenarios
  • coordinating data mapping to Allotrope schemas and ontologies
  • collaboration with scientists, domain experts, Semantic Engineers, development, Quality Engineering, product team, and external vendors
  • coordinating the work of the technical team, mentoring, and removing delivery impediments
  • improving validation procedures, documentation, and reusable test materials
  • collaboration with 1 day per week onsite in Prague, other days remote exclusively from the Czech Republic

Project requirements

  • extensive experience with:
    • data engineering, data integration, data management, or a related field for at least 6 years
    • coordinating small technical teams, prioritizing work, and managing delivery according to project milestones
  • experience with:
    • Allotrope Data Schemas
    • ensuring data quality, including defining solution scope, requirements, acceptance criteria, validation procedures, and test scenarios
    • translating business or scientific requirements into scalable data solutions
    • managing and documenting risks, issues, dependencies, decisions, and stakeholder expectations
    • collaborating with business and technical teams, domain experts, and external vendors
  • advanced knowledge of:
    • data modeling, data mapping and transformation, data quality, and data traceability
  • knowledge of:
    • software development lifecycle, data lifecycle management, and data governance principles
    • English for team and stakeholder communication
  • advantageous:
    • experience in the pharmaceutical industry and knowledge of drug discovery processes
    • understanding of scientific data and laboratory workflows

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