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Job Function:
R&D Product DevelopmentJob Sub Function:
R&D DigitalJob Category:
Scientific/TechnologyAll Job Posting Locations:
Spring House Pennsylvania United States of AmericaJob Description:
Our expertise in Innovative Medicine is informed and inspired by patients whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments finding cures and pioneering the path from lab to life while championing patients every step of the way.
Learn more at Overview
In the Digital Operations and Strategy department in Therapeutic Development and Supply (TDS) we combine science technology and informatics to put data at the center of every decision. We are looking for an enthusiastic and dedicated colleague who shares our ambition to become a data-led organization developing breakthrough therapeutics to join us as a Principal Data Steward Scientific/CMD Data.
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 to help keep JJIM at the leading edge of the digital revolution.
Key Responsibilities
Define implement and own data stewardship processes for Chemistry Manufacturing and Control (CMC) relevant data
Coordinate data aggregation and curation activities to contextualize and improve the quality and FAIRness of our scientific data sets
Collaborate with the ontology team to maintain and evolve data dictionaries taxonomies controlled vocabularies and ontologies in our data catalog and ontology management system specific to Proteins Cell & Gene Therapy and Synthetics development
Create and enforce data standards nomenclature and metadata requirements across lab- and manufacturing systems such as ELN LIMS SAP and MES
Implement automated data quality checks and manual review procedures for critical datasets (e.g. batch records and analytical results)
Translate scientific business requirements into data requirements and work with data engineers to document and operationalize them
Provide training guidance and best practices for scientists engineers and data users on data capture and metadata annotation. For example guide scientists on how best to record experiment information in ELN.
Drive root-cause analysis and continuous improvement for recurring data issues
Define KPIs for data quality and stewardship effectiveness (e.g. percentage of harmonized datasets time-to-curation issue remediation SLA) and report progress to stakeholders
Support the introduction of automated AI-assisted data curation tools to streamline cleaning enrichment and metadata generation
Qualifications & Experience
Minimum
Bachelors degree in Chemistry Biochemistry Data Science Information Systems or a related field. Advanced scientific degree is preferred for deep domain understanding
3 years of demonstrated experience in data stewardship curation or laboratory informatics
3 years of business experience with CMC laboratory manufacturing data systems and product registration systems
Proficiency in scripting for data engineering (e.g. Python SQL etc.)
Experience working with ontology-driven data models and vocabulary management
Excellent analytical problem-solving and communication skills
Experience coordinating work with data engineers to build complex or multi-component data products
Preferred / Nice-to-Have
5 years of demonstrated experience in data stewardship curation or laboratory informatics
5 years of business experience with CMC laboratory manufacturing data systems and product registration systems
Experience in Pharmaceutical research pharmaceutical development analytical product development manufacturing or clinical supply chain environment
Agile and product management experience
Proficiency in SPARQL
Demonstrated ability to translate complex business needs into systems and data requirements
Experience managing remote resources
Required Skills:
Preferred Skills:
Analytical Reasoning Benchmarking Consulting Critical Thinking Data Structures Digital Fluency Digital Strategy Emerging Technologies Engineering Global Market Negotiation Organizing Product Development Product Improvements Regulatory Compliance Research and Development SAP Product Lifecycle Management Technologically Savvy
About Johnson & Johnson A t Johnson & Johnson, we believe good health is the foundation of vibrant lives, thriving communities and forward progress. That’s why for more than 130 years, we have aimed to keep people well at every age and every stage of life. Today, as the world’s larges ... View more