Principal Scientist, Data Science Data Quality

Madrid - Spain

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

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

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Barcelona Spain Madrid Spain

Job Description:

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

This position has a primary location of Barcelona or Madrid Spain This position requires up to 25% travel.

About Innovative Medicine

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 Summary

The R&D Data Quality Principal Scientist 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 J&J Technology teamsensuring 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 and enable the use of tools driving data quality automation and monitoring.
Design dashboards and reports to convey key metrics and communicate insights to scientists and leadership.
Lead root cause analyses for data issues and oversee the development of remediation plans.

Cross-Functional Collaboration

Collaborate with AI/ML Global Functions Real World Evidence Clinical Data Management Global Regulatory J&J Technology Epidemiology and the Commercial organization to understand current quality controls and assess the value / need for subsequent controls.
Act as the liaison between R&D DSDH and J&J Technology translating quality requirements into technical rules and data validation workflows.

Compliance & Risk Management

Ensure data quality processes align (where applicable) to regulatory and industry standards including FDA 21 CFR Part 11 GCP GDPR HIPAA and ALCOA principles.
Support audit readiness by maintaining robust documentation and evidence of data quality processes.

Continuous Improvement & Innovation

Drive adoption of AI-assisted data quality tools and metadata-driven automation to reduce overhead.
Stay current on emerging data quality trends in the pharmaceutical and healthcare space.
Mentor junior quality analysts.

Qualifications

Education

University / bachelors degree or equivalent

Skills & Expertise

8 10 years of experience in pharma/biotech R&D or commercial functions with significant exposure to data management or 6 years of experience in pharma/biotech R&D or commercial functions with advanced degree.

Experience in master data management ontology development and/or knowledge graph application.
Understanding controlled vocabularies (e.g. SNOMED CT MedDRA LOINC).
Experience in data profiling and validation including the use of tools and writing in SQL Python and/or R.

Experience integrating data across discovery development clinical regulatory and/or commercial domains.

Strong understanding of data standardization and harmonization.

Experience working with / in validated environments
Knowledge of FDA and EMA guidelines especially around GxP ALCOA data integrity principles and 21 CFR Part 11 compliance.
Awareness of CDISC SDTM ADaM HDF5 and H5mu standards
Strong leadership communication and cross-functional collaboration skills.
Strong writing skills for creating / drafting of quality reports SOPs and general guidelines.

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 external applicants please contact us via internal employees contact AskGS to be directed to your accommodation resource.

Required Skills:

Preferred Skills:

Advanced Analytics Coaching Critical Thinking Data Analysis Data Privacy Standards Data Quality Data Reporting Data Savvy Data Science Data Visualization Digital Fluency Econometric Models Organizing Process Improvements Strategic Thinking Technical Credibility Workflow Analysis

Required Experience:

Staff IC

Key Skills

Machine Learning
Python
Data Science
AI
R
Research Experience
Sensors
Drug Discovery
Research & Development
Natural Language Processing
Data Analysis Skills
Toxicology Experience

Apply Now

About Company

Johnson & Johnson

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

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