At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through 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 humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

R&D Product Development

Job Sub Function:

R&D Digital

Job Category:

Scientific/Technology

All Job Posting Locations:

Beerse, Antwerp, Belgium, Ringaskiddy, Cork, Ireland

Job 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 https://www.jnj.com/innovative-medicine

Role 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

Bachelor’s 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

Principal Data Steward, Scientific/CMC Data

Job Description