Principal Data Steward, Scientific/cmc Data

Johnson & Johnson

Beerse, Antwerp, Belgium
Fully remote
Data stewardship processes for cmc data
Coordination of data aggregation and curation
Implementation of data-quality checks
Johnson & Johnson empowers healthcare innovation to build a world where complex diseases are prevented, treated, and cured with smarter and less invasive treatments

Job Summary

  • Johnson & Johnson empowers healthcare innovation to build a world where complex diseases are prevented, treated, and cured with smarter and less invasive treatments.
  • The Principal Data Steward role is accountable for ensuring the integrity, consistency, and usability of scientific data across laboratory, pilot plant, and manufacturing systems to support R&D decision making and manufacturing scale-up.
  • This role involves defining data stewardship processes, coordinating data curation activities, implementing data quality checks, and collaborating with cross-functional teams to enable harmonized and traceable datasets.

Matching Summary

Johnson & Johnson empowers healthcare innovation to build a world where complex diseases are prevented, treated, and cured with smarter and less invasive treatments.

Skills & Requirements

Must-have

  • Data stewardship processes for CMC data
  • Coordination of data aggregation and curation
  • Implementation of data-quality checks
  • Collaboration with ontology and data engineering teams
  • Use of lab and manufacturing systems like ELN, LIMS, SAP, MES
  • Scripting proficiency in Python and SQL

Nice-to-have

  • Experience with ontology-driven data models
  • Pharmaceutical research and development experience
  • Agile and product management experience
  • Proficiency in SPARQL
  • Managing remote resources
  • Ability to translate complex business needs into data requirements

Key Requirements

  • Minimum Bachelor’s degree in Chemistry, Biochemistry, Data Science or related field
  • 3+ years experience in data stewardship or laboratory informatics
  • 3+ years business experience with CMC laboratory and manufacturing data systems
  • Proficiency in scripting languages such as Python and SQL
  • Experience working with ontology-driven data models
  • Preferred 5+ years experience in pharmaceutical data stewardship
  • Preferred advanced scientific degree

Work Rights

Not specified

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