Senior Scientist, Data Science (Madrid)

Senior Scientist, Data Science (Madrid)

01 nov
|
Johnson & Johnson
|
Madrid

01 nov

Johnson & Johnson

Madrid

Job Function
Data Analytics & Computational Sciences
Job Sub Function
Data Science
Job Category
Scientific/Technology
All Job Posting Locations
Madrid, Spain, Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of America, Turnhout, Antwerp, Belgium
Job Description
POSITION SUMMARY
The R&D; Data, Data Science & AI (DDSAI) organization is seeking a Senior Scientist, Data Science to serve as a hands‑on technical individual contributor who builds, tests, validates, and refines applied AI/ML and statistical models that support Therapeutics Development & Supply (TDS). This individual contributor will partner with Process Development, CMC, Clinical Supply, Manufacturing, Quality, Regulatory, and Digital/Data Science teams to deliver practical, high‑impact data science and machine learning models that support core TDS responsibilities across CMC development, pharmaceutical product development, dossier preparation, technical development, and clinical supply. The adecuado candidate brings strong quantitative depth, a background in CMC development, fluency with data science tooling, and a proven record of delivering analytical solutions with real‑world impact.
Key Responsibilities
Applied AI/ML Model Development
Build, test, validate, and iterate on AI/ML models for TDS use cases under the guidance of senior data scientists and the AI Solutions Director.
Translate complex scientific and business questions into tractable modeling problems, selecting fit‑for‑purpose methods based on the data, decision context, assumptions, and expected business impact.
Conduct exploratory data analysis, feature engineering, model selection, hyperparameter tuning, and performance evaluation.
Technical Delivery & Software Development Discipline
Develop clean,



well‑documented analytical code using Python and modern data science tooling, including cloud‑based services.
Follow software engineering best practices: version control, testing, documentation, reproducibility, and code review.
Use modern development environments, including AI‑assisted coding tools where appropriate, to accelerate delivery while maintaining quality, transparency, and maintainability.
Cross‑Functional Collaboration
Work with TDS domain experts (scientists, engineers, quality professionals) to understand data, context, and requirements and design ML/AI solutions based on those requirements.
Support multiple concurrent projects, managing tasks and communicating progress to the team lead.
Participate in team technical reviews, cross‑functional capability groups, and capability‑building activities.
Qualifications
Required
Advanced degree in Data Science, Statistics, Computer Science, Engineering, Chemistry, Physics, or a related quantitative discipline.
1–3 years of relevant experience in applied data science, machine learning, or statistical modeling (including graduate research).
Proficiency in Python and common data science libraries (scikit‑learn, pandas, numpy, PyTorch, TensorFlow).
Strong analytical and problem‑solving skills.
Good communication skills and ability to work collaboratively in cross‑functional teams.
Preferred
Ph.D. in Mathematics,



Statistics, Engineering, Chemical Engineering, Computer Science, Data Science, Operations Research, Chemistry, Physics, Pharmaceutical Sciences, or another related quantitative or scientific discipline.
Experience with pharmaceutical, bioprocess, manufacturing, or healthcare data.
Familiarity with experimental design, Bayesian methods, or scientific computing.
Exposure to developing and/or deploying agent‑based AI solutions.
Exposure to cloud‑based data science environments (AWS, Snowflake).
Why This Role Is Unique
This is a rare opportunity to grow in one of the world’s most ambitious and fast‑growing R&D; Data Science organizations, shaping how applied AI/ML and advanced analytics transform Therapeutics Development & Supply. Your work will directly support CMC development, clinical supply, dossier preparation, and the broader development‑to‑supply continuum, helping Johnson & Johnson accelerate scientific decision‑making, improve development execution, and deliver next‑generation therapies to patients globally.
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

📌 Senior Scientist, Data Science (Madrid)
🏢 Johnson & Johnson
📍 Madrid

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