Manager Simulation Modeler Engineer
About The Position
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.
Requirements
- 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.
Nice To Haves
- Master’s degree preferred.
- 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.
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.
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
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What This Job Offers
Job Type
Full-time
Career Level
Manager
