Principal Scientist, Data Science - DDSAI - Therapeutics Development Supply

Johnson & Johnson • Spring House, PA

1d • Hybrid

About The Position

The R&D Data, Data Science and Artificial Intelligence (DDSAI) organization is seeking a hands-on Principal Scientist, Data Science to design, build, and scale AI/ML, simulation, forecasting, optimization, decision intelligence and digital twin capabilities that support decision-making across Drug Product Development & Supply (DPDS), with primary focus on Therapeutics Development & Supply (TDS). This individual contributor role will partner with development, technical operations, clinical supply chain, finance, and digital/data science stakeholders to translate complex scientific, operational, and planning processes into practical decision intelligence capabilities for TDS. The ideal candidate combines deep expertise in data science, operations research, scientific computing, and software development discipline with a track record of delivering measurable business impact in complex technical environments.

Requirements

• Advanced degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Computer Science, Data Science, Chemical Engineering, Chemistry, Physics, or a related quantitative field.
• 3-5+ years of relevant experience applying data science, operations research, simulation, forecasting, optimization, or scientific computing methods to complex R&D, manufacturing, clinical supply, technical operations, or business planning problems.
• Strong Python programming skills and demonstrated use of modern analytical development practices, including version control, testing, documentation, reproducibility, and code review.
• Proven track record of delivering analytical products, computational models, or decision intelligence tools that influenced business, scientific, or operational decisions.
• Demonstrated ability to provide technical leadership in cross-functional environments while remaining a hands-on individual contributor.

Nice To Haves

• Ph.D. in Operations Research, Engineering, Applied Mathematics, Computer Science, Statistics, Data Science, or a related quantitative discipline.
• Experience in pharmaceutical product development, CMC, technical development, manufacturing, clinical supply, supply chain, portfolio planning, capacity planning, resource planning, or regulated life sciences environments.
• Experience deploying simulation, forecasting, optimization, or AI/ML-enabled decision tools into business workflows at enterprise scale.
• Exposure to developing and/or deploying agent-based AI solutions

Responsibilities

• Design, build, validate, and maintain digital twins and decision models of TDS/DPDS operations to support portfolio planning, capacity and resource allocation, demand/supply planning, scenario analysis, and operational decision-making.
• Apply data science, operations research, forecasting, simulation, uncertainty quantification, mathematical optimization, heuristics, and machine learning methods to solve high-value business and scientific planning problems.
• Translate complex development, manufacturing, clinical supply, and planning processes into fit-for-purpose computational models that capture uncertainty, constraints, and cross-functional interdependencies.
• 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 maintainability.
• Partner with scientific, technical, operations, finance, and digital stakeholders to define requirements, shape analytical solutions, and embed outputs into business planning and decision workflows.
• Lead technical work across multiple concurrent projects while remaining a hands-on contributor.
• Communicate model assumptions, limitations, results, and recommendations clearly to technical and non-technical audiences.
• Mentor junior colleagues and provide technical guidance to consultants, post-doctoral researchers, and external collaborators contributing to project delivery.

Benefits

• Vacation –120 hours per calendar year
• Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
• Holiday pay, including Floating Holidays –13 days per calendar year
• Work, Personal and Family Time - up to 40 hours per calendar year
• Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
• Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
• Caregiver Leave – 80 hours in a 52-week rolling period
• 10 days Volunteer Leave – 32 hours per calendar year
• Military Spouse Time-Off – 80 hours per calendar year

What This Job Offers

• Job Type: Full-time
• Career Level: Principal