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Johnson & Johnson Belgium seeks a Senior Scientist, Data Science to build, test, validate, and refine applied AI/ML models supporting Therapeutics Development & Supply. You will partner with Process Development, CMC, Clinical Supply, Manufacturing, Quality, Regulatory, and Digital/Data Science teams to deliver practical data science solutions.
The ideal candidate brings 1–3 years of applied data science experience, strong Python skills, and a collaborative mindset to drive impactful
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.
Data Analytics & Computational Sciences
Data Science
Scientific/Technology
Madrid, Spain, Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of America, Turnhout, Antwerp, Belgium
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 ideal 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.
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.
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.
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.
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).
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
JNJIMRND-DS
Advanced Analytics, Business Intelligence (BI), Coaching, Collaboration, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis
Additional Description for Pay Transparency:
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)).
This position is eligible to participate in the Company’s long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits