Principal Scientist, Operations Research & Decision Science- R&D DDSAI - Therapeutics Development &

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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, Spring House, Pennsylvania, United States of America

Job Description:

Johnson & Johnson Innovative Medicine is recruiting for Principal Scientist, Operations Research & Decision Science- R&D DDSAI - Therapeutics Development & Supply (TDS)

The primary location for this position is open to Spring House, PA or Madrid, Spain

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 https://innovativemedicine.jnj.com/

POSITION SUMMARY

The R&D Data, Data Science and Artificial Intelligence (DDSAI) organization is seeking a hands-on Principal Scientist, Operations Research & Decision Science to design, build, and scale simulation, optimization, digital twin, and decision-support capabilities across Therapeutics Development & Supply (TDS), including Chemistry, Manufacturing & Controls (CMC) and Clinical Supply Chain (CSC).

This individual contributor will translate complex development, manufacturing, portfolio, capacity, resource, and clinical supply processes into rigorous computational models.

The ideal candidate combines deep expertise in operations research, industrial engineering, mathematical modeling, and scientific computing with the software engineering discipline required to deploy trusted solutions in enterprise decision workflows.

KEY RESPONSIBILITIES

Operations Research & Mathematical Optimization


* Formulate and solve optimization problems involving portfolio prioritization, resource allocation, capacity planning, and resource scheduling.


* Apply linear and mixed-integer programming, n...