Senior Manager - R&D Data Science Digital Health, Data Quality

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 https://www.jnj.com

Job Function:
Data Analytics & Computational Sciences

Job Sub Function:
Data Science

Job Category:
Scientific/Technology

All Job Posting Locations:
Cornellà de Llobregat, Barcelona, Spain

Job Description:

Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Senior Manager, R&D Data Science Digital Health, Data Quality

This position has a primary location of Barcelona, Spain.

This position requires up to 25% travel. 

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 

Position Summary 

The Senior Manager R&D Data Quality will play a critical role in ensuring the accuracy, completeness, and plausibility of data assets leveraged by the R&D Data Science Digital Health organization.  Collaborating across Innovative Medicine (inclusive of R&D, Commercial, Supply Chain and Manufacturing), this individual will define quality guidelines for the R&D DSDH organization and ensure pull through of enterprise-wide data quality strategies, standards, and processes.  This role bridges business, scientific, and our technology teams—ensuring that all data used for research, regulatory submissions, and analytics meet the highest quality and compliance standards.

Key Responsibilities 

Data Quality Strategy & Governance


* Develop and maintain a data quality management framework aligned with GxP, FAIR, and enterprise principles.


* Define data quality dimensions (accuracy, completeness, consistency, timeliness, validity, integrity, and lineage) and establish measurable KPIs.


* Partner with Data Governance, Knowledge Management Global Development, Regulatory and Master Data Management (MDM) teams to ensure traceability and alignment of data quality standards across domains.


* Contribute to data stewardship, defining ownership and escalation procedures for quality issues.

Quality Measurement, Education & Remediation


* Lead data validation activities across multiple data types — including clinical, real world, omics, manufacturing, and digital health data.


* Identify an...