Research Fellow - Simulation and Optimization Modeling in Healthcare

Role Overview

This position involves leading the creation of a modular simulation platform focusing on healthcare systems. The fellow will design and implement simulation and optimization models, translating healthcare processes into scalable simulation architectures.

Key Responsibilities

• Lead the architecture and development of a versatile simulation platform tailored to healthcare.
• Develop and execute simulation and optimization models to support healthcare research.
• Analyze healthcare system workflows to build scalable simulation frameworks.
• Perform comprehensive literature reviews to inform and integrate existing research into model development.
• Support data integration efforts alongside model calibration and validation using healthcare datasets.
• Contribute to the preparation of academic publications, reports, and presentations at conferences.
• Collaborate with healthcare institutions and research stakeholders to ensure project alignment.
• Oversee development activities including AI-assisted programming and software deployment.
• Perform additional responsibilities as assigned.

Required Qualifications

• Doctoral degree in Operations Research, Industrial Engineering, Computer Science, Data Science, Analytics, or related quantitative fields.
• Proficient programming expertise in Python.
• Hands-on experience with simulation modeling, preferably discrete-event simulation.
• Expertise in software and system design principles such as object-oriented programming and modular software architecture.
• Knowledge of optimization techniques and quantitative modeling frameworks.
• Strong analytical skills coupled with problem-solving capabilities.
• Experience in academic research, including scholarly writing and publication.
• Ability to collaborate within multidisciplinary research teams and work independently.
• Familiarity or experience in healthcare analytics or operations research in healthcare is beneficial.