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Tier-1 employer plus metro location increase applicant density, but niche OR skillset reduces competition.
OR and supply-chain analytics are transferable across sectors, though pharma compliance raises domain specificity.
Specialized OR, optimization solver, and production-grade Python requirements create strict technical filters.
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Apply operations research, digital twin modeling, simulation, and optimization to solve complex clinical and commercial supply chain challenges in drug development, manufacturing, distribution, and patient delivery.
Develop scalable, production-ready Python-based analytical applications for strategic and operational decision-making under uncertainty.
Collaborate cross-functionally to deliver data-driven solutions improving supply chain performance, resilience, and operational efficiency.
Advanced degree (MS or PhD preferred) in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, Data Science, or related quantitative field.
Strong programming experience in Python and analytical application development with production-quality standards.
Experience with operations research techniques including Mixed Integer Linear Programming, simulation, and optimization solvers like Gurobi, CPLEX, or OR-Tools.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in digital twin platforms or simulation tools such as AnyLogic, Simio, or Arena applied to supply chain or operations problems.
Capable of architecting modular, maintainable analytical applications for enterprise-scale supply chain decision support.
Comfortable communicating complex technical models and uncertainty to both technical and non-technical stakeholders in a large, cross-functional team environment.