The data steward is accountable for ensuring integrity, consistency, and usability of scientific data across laboratory, pilot plant, and manufacturing systems
Job Summary
The data steward is accountable for ensuring integrity, consistency, and usability of scientific data across laboratory, pilot plant, and manufacturing systems.
This position combines coordination of data aggregation and curation activities with implementation of data-quality checks, in partnership with data engineering, and cross-functional teams to enable harmonized, traceable and contextualized datasets for R&D decision making, manufacturing scale-up processes and tech transfer within TDS.
Provide training, guidance and best practices for scientists, engineers and data users on data capture and metadata annotation.
Matching Summary
The data steward is accountable for ensuring integrity, consistency, and usability of scientific data across laboratory, pilot plant, and manufacturing systems.
Skills & Requirements
Must-have
data stewardship processes for CMC data
data aggregation and curation activities
data standards, nomenclature and metadata
automated data quality checks
translate scientific business requirements
define KPIs for data quality
Nice-to-have
ontology-driven data models
pharmaceutical research and development
agile and product management experience
AI-assisted data curation tools
Key Requirements
Bachelor’s degree in Chemistry, Biochemistry, Data Science, Information Systems, or related field
3+ years of experience in data stewardship, curation, or laboratory informatics
3+ years of business experience with CMC laboratory, manufacturing data systems
Proficiency in scripting for data engineering (e.g., Python, SQL)