Spring House, Pennsylvania, United States of America
Fully remote
Data stewardship processes
Data aggregation and curation
Data quality checks
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.
We provide an inclusive work environment where each person is considered as an individual.
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
data aggregation and curation
data quality checks
data standards and nomenclature
automated data quality checks
scientific business requirements
Nice-to-have
ontology-driven data models
Agile and product management experience
AI-assisted data curation tools
remote resources management
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)
Experience working with ontology-driven data models