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.Beerse, Antwerp, Belgium, Cornellà de Llobregat, Barcelona, Spain, Madrid, Spain, Spring House, Pennsylvania, United States of America
The R&D; Data Science organization is seeking a Senior Data Scientist to leverage advanced machine learning, robust data engineering techniques, and domain expertise to drive impactful decisions and generate actionable insights within the Pharmaceutical Sciences & Translational Safety (PSTS) organization.
In this role, you will work closely with multidisciplinary teams—including toxicologists, PK/PD specialists, in vivo researchers, and safety professionals to create AI-ready datasets, develop predictive models, and deliver analytical solutions that promote improved safety evaluations and facilitate translational research.
The successful candidate possesses hands‑on experience in machine learning and data engineering, complemented by a solid understanding of toxicology, pharmacokinetics/pharmacodynamics (PK/PD), in vivo experimentation, and translational science. Machine Learning & Modeling
Develop and deploy ML/AI models to support safety signal detection, dose selection, PK/PD modeling, toxicology insights, and translational interpretation.
Implement representation‑learning, predictive modeling, and multivariate analytics for datasets spanning in vivo studies, in vitro assays, exposure‑response data, and pathology information.
Data Engineering & Pipeline Development
Build and maintain scalable data pipelines that integrate PSTS‑relevant data sources (e.g.,



toxicology studies, PK/PD datasets, biomarker readouts, animal study repositories).
Transform raw experimental outputs into standardized, analysis‑ready, AI‑ready datasets using Python, R, and cloud‑native services.
Contribute to harmonized scientific data models in collaboration with data engineering and ontology teams.
Work directly with toxicology, DMPK, and safety stakeholders to interpret scientific context and translate study designs into computational requirements.
Apply understanding of mechanism‑based toxicology, exposure‑response concepts, and in vivo study structures to guide data transformations and modeling strategies.
Enhance cross‑study comparability via standardized terminologies, metadata practices, and quality checks.
Collaborate with PSTS functional experts, R&D; Data Science teams, and platform architects to ensure high‑quality, scalable data solutions.
Advanced degree (MS or PhD) in Data Science, Computational Biology, Toxicology, Pharmacology, Biomedical Engineering, Computer Science, or related field.
~2+ years of experience applying machine learning and/or data engineering to scientific or biomedical datasets.
~ Proficiency with Python and/or R, SQL, and modern data engineering tooling (cloud computing, workflow orchestration, version control).
~ Experience with ML model development, evaluation,



and deployment pipelines.
~ Experience working with biological, toxicology, PK/PD, or in vivo datasets.

Experience in safety sciences, ADME/DMPK, toxicogenomics, or biomarker analytics.
Familiarity with scientific data formats (e.g., assay outputs, histopathology data, PK time‑course datasets).
Experience with cloud‑based data architectures (AWS S3, Snowflake, Redshift).
Understanding of regulatory data standards (e.g., This is a rare opportunity to grow in one of the world’s most ambitious and fastest‑growing R&D; Data Science organizations, shaping how PSTS data powers next‑generation therapies in the largest biomedical company on the planet. 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.
Business Intelligence (BI)
Data Analysis
Database Management
Data Privacy Standards
Data Reporting
Data Savvy
Data Science
Data Visualization
Workflow Analysis
Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
Holiday pay, including Floating Holidays –13 days per calendar year
Bereavement Leave – 240 hours for an immediate family member: For additional general information on Company benefits, please go to: -
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📌 Senior Data Scientist (Cornellà de Llobregat)
🏢 Johnson & Johnson
📍 Cornellà de Llobregat