Principal Scientist, Data Science - DDSAI - Therapeutics Development Supply

Location: Spring House

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 Med Tech, 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  

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.

** Job Function:*
* Data Analytics & Computational Sciences

** Job Sub*
* ** Function:*
* Data Science

** Job Category:*
* Scientific/Technology

** All Job Posting Locations:*
* Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America

*
* Job Description:

*
* Johnson & Johnson Innovative Medicine is recruiting for  
** Principle Data Scientist - DDSAI - Therapeutics Development Supply*
* The primary location is flexible to Spring House, PA, Cambridge; MA;
Madrid or Barcelona, Spain; or Beerse, Belgium.

** For candidates interested in our Spain or Belgium, please apply to requisition:*
* ** R-081614*
* J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals.

To learn more about Johnson & Johnson Innovative Medicine visit

** POSITION SUMMARY*
* The R&D Data Science organization is seeking a  
** Principal Scientist, Data Science
** to serve as a  
** hands-on technical individual contributor
** responsible for designing, building, validating, and delivering applied AI/ML and statistical modeling solutions that support Drug Product Development & Supply (DPDS), with a primary focus on 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.

** KEY RESPONSIBILITIES*
* ** Hands-On Applied AI/ML Model Development*
* + Serve as a senior hands-on individual contributor responsible for personally designing, coding, testing, validating, and refining applied AI/ML models for high-value TDS use cases.

+ 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 rigorous exploratory analysis, feature engineering, diagnostics, error analysis, sensitivity analysis, and uncertainty assessment to ensure models are credible, robust, and actionable.

** Technical Delivery & Software Development Discipline*
* + Develop robust, reusable analytical workflows and modeling assets using Python and modern data science tooling, including cloud-based services.

+ Apply software engineering best practices, including version control, modular code design, 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…