Job Function:
Supply Chain Engineering
Job Sub Function:
Process Engineering
Job Category:
People Leader
All Job Posting Locations:
Raritan, New Jersey, United States of America
Job Description:
We are searching for the best talent for a Manager Simulation Modeler Engineer to join our Team. This is an onsite/hybrid position located in Raritan, NJ.
Are you interested in joining a team that is positively impacting patients' lives by ensuring high quality in our cell therapy products? Apply today for this exciting opportunity to be part of the #CAR-T team!
There is a pre-identified candidate for this position, but all candidates will be considered.
Manager Simulation Modeler Engineer A leadership-focused engineering role dedicated to building and delivering high-impact discrete-event simulations using Simio. Optimization is secondary; the primary mission is to drive process understanding, improvement, and adoption through rigorous simulation study, robust change management, and cross-functional collaboration. Knowledge of pharmaceutical manufacturing processes is preferred. The Manager will work in a matrix environment, both within Johnson & Johnson and with our CAR-T collaboration partner, Legend Biotech.
Role Overview
- Lead the design, development, and delivery of end-to-end discrete-event simulation models in Simio to analyze and optimize complex manufacturing and operations processes.
- Drive process improvement programs using simulation to identify bottlenecks, quantify benefits, and define implementation roadmaps.
- Guide change management activities to ensure successful adoption of simulation insights, including stakeholder engagement, training, and communication plans.
Key Responsibilities
- Architect, build, validate, and maintain discrete-event models in Simio to represent current and future-state production and logistics processes.
- Lead process improvement projects from scoping through execution, capturing clear value propositions (capacity, throughput, cycle times, quality, cost) and driving realization plans.
- Develop and maintain modeling standards, templates, and documentation to enable repeatable, scalable simulation work across teams.
- Lead change initiatives associated with simulation-driven improvements, including stakeholder communication plans, training material, and adoption tracking.
- Facilitate decision-making forums by delivering clear, data-driven narratives and visuals; produce executive-friendly reports and dashboards.
Required Qualifications
- Minimum 5 years of hands-on experience in discrete-event simulation, preferably with Simio; a track record of delivering impact through simulation in complex environments.
- Strong capability in modeling, data analysis, and storytelling with data; able to translate complex models into clear, actionable business recommendations.
- Proficiency with programming/scripting to support models and data processing (e.g., Python, R, or equivalent) and familiarity with data visualization tools.
- Excellent communication, presentation, and leadership skills; proven ability to lead multi-functional teams and drive organizational change.
- Bachelor's degree in Engineering, Operations Research, Industrial Engineering, Chemical Engineering, Computer Science, Statistics, or a related discipline. Master’s degree preferred.
Preferred Qualifications & Experience
- Experience with pharmaceutical manufacturing processes and GMP/quality systems is highly desirable.
- Exposure to optimization concepts (e.g., LP, MILP, MINLP) and their integration with simulation; while optimization is a secondary focus, familiarity is advantageous.
- Experience implementing simulation-driven solutions across manufacturing floors or large-scale operations.
- Knowledge of process improvement methodologies (e.g., Lean, Six Sigma) and their application via simulation.
- Strategic thinker with the ability to connect simulation outcomes to business goals and financial impact.
- Change-agent mindset: comfortable driving adoption, training, and stakeholder alignment.
Tools and Capabilities
- Primary: Simio for discrete-event simulation modeling.
- Data & analysis: Python, R, Pandas, Excel; data extraction and cleaning to feed models.
- Visualization: Power BI, Tableau, or equivalent for communicating results.
- Optional/plus: Optimization tools and techniques (exposure to LP/MILP/MINLP) to complement simulation work.
- Collaboration: Jira/Confluence or similar for project tracking and documentation.
Required Skills:
Preferred Skills:
Agile Decision Making, Benchmarking, Crisis Management, Developing Others, Disruptive Innovations, Emerging Technologies, Inclusive Leadership, Leadership, Lean Supply Chain Management, Process Control, Process Engineering, Process Improvements, Product Costing, Program Management, Project Schedule, Science, Technology, Engineering, and Math (STEM) Application, Team Management, Technical Research, Technical Support
The anticipated base pay range for this position is :
102,000 - 173,400
Additional Description for Pay Transparency:
Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 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 Condolence Leave – 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave – 10 days Volunteer Leave – 4 days Military Spouse Time-Off – 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits
