Principal Scientist: Optimization, Simulation & Digital Twins

Johnson Johnson; United States; On-site; USD 117,000 - 201,000; Full time

Benefits offered by this job

Time Off Benefits

Retirement Plan

Long-term Incentive Program

Job summary

Johnson & Johnson Innovative Medicine is recruiting a Principal Scientist to lead Operations Research and Decision Science within the R&D DDSAI organization. This hands-on role designs, builds, and scales optimization, simulation, and digital twin capabilities across Therapeutics Development & Supply.

You will translate complex portfolio, capacity, and clinical supply processes into rigorous models, mentor teams, and deliver decision-support tools that inform portfolio decisions and optimize

Qualifications

• Advanced degree in Operations Research, Industrial Engineering, Systems Engineering, Applied Mathematics, Management Science, Computer Science, Chemical Engineering, or a related quantitative field.
• 5+ years of relevant experience applying optimization, simulation, stochastic modeling, decision analysis, or related methods to complex operational problems.
• Demonstrated depth in at least two of: mathematical programming, discrete-event simulation, stochastic optimization, scheduling, network optimization, resource allocation, inventory optimization, or decision-making under uncertainty.
• Strong Python programming skills and experience with optimization or simulation frameworks such as Pyomo, Gurobi, CPLEX, OR-Tools, SimPy, AnyLogic, Simio, Arena, or equivalents.
• Proven record of delivering computational models or decision-support products that influenced business or operational decisions.

Responsibilities

• Formulate and solve optimization problems involving portfolio prioritization, resource allocation, capacity planning, and resource scheduling.
• Develop models that make constraints, uncertainty, risk, and tradeoffs explicit and convert outputs into clear recommendations.
• Design, build, validate, and maintain digital twins of operations to evaluate future scenarios and strategies.
• Develop simulations (discrete-event, Monte Carlo, agent-based, system dynamics) to represent complex systems.
• Create reusable modeling components and platforms extendable across products and sites.

Skills

Python

Optimization

Operations Research

Modeling

Leadership

Education

Advanced degree in OR/IE or related field

Tools

Pyomo

Gurobi

CPLEX

OR-Tools

SimPy

Job description

Johnson & Johnson Innovative Medicine is recruiting a Principal Scientist to lead Operations Research and Decision Science within the R&D DDSAI organization. This hands-on role designs, builds, and scales optimization, simulation, and digital twin capabilities across Therapeutics Development & Supply.

You will translate complex portfolio, capacity, and clinical supply processes into rigorous models, mentor teams, and deliver decision-support tools that inform portfolio decisions and optimize