Senior Scientist, Data Science - R&D DDSAI - Therapeutics Development & Supply (TDS)

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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 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

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 acce...