Director, Research Data Foundation

Johnson & Johnson Innovative Medicine; Beerse; On-site; EUR 119,000 - 204,000; Full time

Benefits offered by this job

Annual bonus

Vacation days

Parental leave

Well-being reimbursement

Insurance plans

Job summary

Johnson & Johnson Innovative Medicine seeks a Director, Research Data Systems to lead the transformation of research data platforms across Discovery, translational science, and AI-ready analytics. The role focuses on building scalable data ingestion, metadata, and governance to enable trusted data assets across multiple Beerse locations and global teams.

You will partner with scientists, data product owners, and platform teams to drive data quality, semantic interoperability, and reusable data

Qualifications

• Master’s degree in Computer Science or Life Sciences; advanced degree preferred.
• 10+ years of progressive technology leadership experience with relevant focus.
• Experience in research data platforms, architecture, or enterprise data management.
• Cloud-based FAIR data environments, metadata capabilities and master data experience.
• Life sciences/biotech/pharma regulatory context preferred.
• Strong executive influencing and clear business communication.

Responsibilities

• Lead scalable data ingestion and curation platforms including onboarding and metadata enrichment.
• Define governance for naming conventions, identifiers, provenance, lineage, and vocabularies.
• Partner with scientists to ensure context and data quality across research domains.
• Provide governed access to distributed R&D data via scalable integration and virtualization.
• Establish research data quality, FAIR standards, monitoring, and executive reporting.
• Oversee semantics, metadata, and master data to improve findability and interoperability.

Skills

Advanced Analytics

Agility Jumps

Data Engineering

Data Governance

Data Modeling

Data Privacy Standards

Data Quality

Data Science

Developing Others

Execution Focus

Hybrid Clouds

Inclusive Leadership

Leadership

Program Management

Stakeholder Engagement

Succession Planning

Technical Development

Technologically Savvy

Education

Master’s degree or equivalent

Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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

Data Analytics & Computational Sciences

Job Sub Function

Data Engineering

Job Category

People Leader

All Job Posting Locations

Beerse, Antwerp, Belgium

Job Description

We are searching for the best talent for a Director, Research Data Systems to be located in Spring House, PA; Raritan, NJ; Titusville, NJ or Beerse, Belgium.

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):

United States - R-102254

Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.

The Director, Research Data Systems, Innovative Medicines R&D is responsible for leading the research data technology capabilities that enable trusted, governed and reusable data across the Research organization. The role will drive a major transformation to bring research data from fragmented systems, instruments, labs, and (in silico) scientific workflows into a FAIR environment that accelerates discovery, translational science, analytics, AI/GenAI, and scientific decision-making.

This role partners across research functions, lab informatics teams, data product owners, scientists, data science/modeling teams, governance leaders, architecture, cybersecurity, and technology platform teams to run a research data operating model. The role translates research strategy, FAIR principles, scientific data needs and AI-readiness requirements into using scalable platforms, metadata practices, data services, standards, scorecards, and operating routines.

The role is accountable for research data platforms, research data ingestion, FAIR metadata and cataloging, scientific data quality and scorecards, research master/reference data, semantic interoperability, data virtualization, and research data products across Discovery, laboratory sciences, translational research, computational biology, chemistry, biologics, imaging, omics, screening, and other research domains.

Key Responsibilities

Research Data Ingestion and Curation Services

• Lead scalable data ingestion and curation platforms, covering onboarding, metadata enrichment, pipeline engineering, orchestration, monitoring, and issue resolution.
• Enable tools to standardise naming conventions, identifiers, provenance, lineage, ontologies, vocabularies, quality thresholds, stewardship, sharing, and compliant scientific reuse.
• Partner with data product teams and scientists to ensure scientific context and data quality.
• Enable governed and performant access to distributed R&D data through scalable integration and data virtualization, including federation, semantic access, security, caching, and performance optimization.

Research Data Quality, Governance and FAIR Standards

• Define and operate research data quality and FAIR frameworks, standards, thresholds, and executive reporting across priority research data domains.
• Partner with data owners, stewards, DDSAI, product teams, and business functions to establish quality rules, ownership, metadata expectations and FAIR acceptance criteria.
• Establish consistent, automated monitoring and governance across diverse research data, covering quality and completeness.
• Translate quality and FAIR insights into remediation priorities and measurable improvement roadmaps, improving data readiness for analytics, AI/GenAI, computational modeling, knowledge graphs, translational science, and scientific reuse.

Research Data Semantics, Metadata and Master Data

• Lead research data catalog, metadata, ontology, lineage, and master/reference data capabilities to improve the findability, context, interoperability, governance, and reuse of research data.
• Establish consistent adoption of canonical research entities, identifiers, controlled vocabularies, semantic standards, metadata, lineage, and provenance across research platforms, workflows, pipelines, and data products.
• Enable high-quality, semantically consistent research data across compounds, targets, assays, samples, studies, experiments, instruments, and other scientific domains to support analytics, AI, automation, knowledge management, and cross-study interoperability.

Qualifications

• Master’s degree or equivalent experience in Computer Science or Life Sciences; advanced degree preferred.
• 10+ years of progressive technology leadership experience with relevant focus.
• Solid experience in research data platform engineering, scientific data architecture, laboratory informatics, or enterprise research data management.
• Good background in designing and implementing cloud-based FAIR data environments, semantic and metadata capabilities, and enterprise master/reference data solutions.
• Experience in life sciences, healthcare, biotech, pharmaceuticals, or other highly regulated environments preferred.
• Good understanding of FAIR data principles, data product management, data contracts, research governance workflows, privacy, security, compliance, AI-ready data, and platform operating models.
• Shown to successfully lead multi-functional teams and influence research leaders and scientists.
• Outstanding communication skills with the ability to translate complex data platform and governance topics into clear business decisions and outcomes.

Required

• Shown success building and operating enterprise-grade data solutions!
• Experience establishing operating models for governed, reusable data assets.
• Demonstrated ability to partner with scientists, data science, analytics, business, and technology organizations.
• Experience handling critical data services with reliability targets, operational metrics, issue remediation, cost optimization, and service improvement routines.
• Consistent track record driving adoption of shared platforms, common standards, self-service patterns, metadata practices, governance workflows, and data product lifecycle management.
• Strong executive influencing skills!

Required Skills

Preferred Skills:

Advanced Analytics, Agility Jumps, Data Engineering, Data Governance, Data Modeling, Data Privacy Standards, Data Quality, Data Science, Developing Others, Execution Focus, Hybrid Clouds, Inclusive Leadership, Leadership, Program Management, Stakeholder Engagement, Succession Planning, Technical Development, Technologically Savvy

The Anticipated Base Pay Range For This Position Is

€119,200.00 - €204,355.00

Benefits

In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers.

• This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.

#JNJTech

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.