Principal Data Steward, ScientificCMC Data

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at .

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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

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