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

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.

Job Function:
Data Analytics & Computational Sciences

Job Sub Function:
Data Science

Job Category:
Scientific/Technology

All Job Posting Locations:
Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of America

Job Description:
Position Summary

Therapeutics Development & Supply (TDS) bridges scientific discovery and clinical application across Chemistry, Manufacturing and Controls (CMC), device development, and clinical supply chain.

The R&D Data, Data Science & AI (DDSAI) organization is seeking a Senior Principal Scientist, Data Science to lead the development and adoption of Operations Research and Decision Intelligence solutions across TDS.

This is a senior individual technical contributor role combining hands-on modeling, technical leadership, and cross-functional influence.

This role will work with senior stakeholders, Director- and VP-level, across TDS, aligning priorities, clarifying decision needs, and communicating recommendations, trade-offs, and risks.

The role will develop reusable forecasting, optimization, simulation, and decision-modeling capabilities for portfolio and resource planning, business operations, laboratory and process digital twins, and clinical supply.

A successful candidate has a strong background in Operations Research or Engineering and has experience in pharmaceutical CMC development or supply chain.

Key Responsibilities
Model Development & Decision Support


* Design, build, validate, and deliver forecasting, optimization, simulation, and decision-support solutions for complex scientific, planning, and operational problems.


* Develop long- and short-term portfolio, workload, resource, and capacity forecasts; quantify uncertainty, dependencies, and scenario sensitivities.


* Develop business operations analytics and laboratory or process digital twins that connect demand, workflow, equipment, capacity, and performance to actionable decisions.


* Apply operations research methods to clinical supply and development planning, making assumptions, trade-offs, and model limitations explicit.

Technical Leadership & Sustainable Delivery


* Develop r...