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

- **Company:** Johnson & Johnson
- **Location:** Spring House, PA, United States
- **Experience:** Expert
- **Salary:** $137,000.0 - $235,750.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Code Review, Data Integration, Decision Support Systems, Integer Programming, Python (Programming Language), Enterprise Data Management, Reinforcement Learning, Uncertainty Quantification (UQ), Information Technology, Free and Open-Source Software, Software Version Control
- **Published:** October 29, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28145139/Senior-Principal-Scientist-Data-Science-R-D-Ddsai-Therapeutics-Development-Supply-Tds-Pennsylvania-Spring-House-1306

## About the Role

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., Required

 * Ph.D. in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline with 8+ years of relevant experience; or a master's degree with 10+ years of relevant experience.
 * Advanced expertise in mathematical optimization, including linear and mixed-integer programming; simulation, including Monte Carlo or discrete-event methods; and forecasting and uncertainty analysis.
 * Strong hands-on Python skills and demonstrated use of modern software-development and model-validation practices.
 * Track record of delivering quantitative decision-support solutions that achieve sustained adoption, with methods or components reused beyond an initial use case.
 * Demonstrated technical leadership through solution architecture, methodological improvement, standards, or mentorship. People-management experience is not required.
 * Ability to formulate problems with subject matter experts, influence technical and business stakeholders, and communicate assumptions, trade-offs, and limitations clearly.

Preferred

 * Experience in pharmaceutical R&D, CMC development, laboratory operations, clinical supply, manufacturing, or another regulated environment.
 * Experience with portfolio and resource forecasting, capacity planning, business operations analytics, or laboratory and process digital twins.
 * Experience integrating decision models with enterprise data products, planning systems, or production platforms.
 * Exposure to stochastic programming, Bayesian decision methods, agent-based modeling, reinforcement learning, or integration of AI/ML with optimization and simulation.
 * Publications, patents, open-source contributions, conference presentations, or comparable contributions in operations research or decision science.

## Description

Therapeutics Development & Supply (TDS) bridges scientific discovery and clinical application across Chemistry, Manufacturing and Controls (CMC), device development, and clinical supply chain., 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 reusable modeling frameworks, reference implementations, and practical guidance for forecasting, mathematical optimization, simulation, decision analysis, and uncertainty quantification.
 * Apply disciplined software and model-development practices, including modular code, version control, testing, documentation, reproducibility, peer review, sensitivity analysis, and monitoring.
 * Partner with J&J Technology and DDSAI teams on data integration, deployment, observability, security, support, and lifecycle ownership; work with quality and compliance partners where regulated controls are required.
 * Provide technical guidance and mentorship to data scientists and quantitative practitioners through problem formulation, model architecture, code review, and validation.

Collaboration & Adoption

 * Work with TDS scientists, engineers, laboratory leaders, Clinical Supply Chain, business operations, Digital Operations & Strategy, and Finance to define decision needs and embed solutions into established workflows.
 * Collaborate with DDSAI data product, ontology, AI/ML, and platform teams on shared definitions, reusable data products, methods, and components.
 * Communicate recommendations, assumptions, uncertainty, and limitations clearly to technical and business stakeholders, including senior leaders; build adoption through evidence and effective decision framing.
 * Contribute to the Operations Research and Decision Intelligence roadmap, technical forums, communities of practice, and evaluation of emerging methods or external solutions.