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Tier-1 employer and metro location increase competition while niche OR specialization reduces applicant density.
Strong OR and production analytics skills transfer across industries, though pharma supply-chain and compliance knowledge increases domain specificity.
Requires specialized OR/optimization, production-grade analytics skills and preferred advanced degree, making shortlisting strict.
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Develop and implement advanced operations research models (e.g., MILP, simulation, stochastic modeling) for clinical and commercial supply chain challenges.
Build scalable decision-support tools and digital twin simulations to enhance supply chain planning, resilience, and performance under uncertainty.
Architect and maintain modular Python-based analytics and optimization applications for strategic and operational decision-making across global supply chain.
Advanced degree (MS or PhD preferred) in Operations Research, Industrial Engineering, Applied Math, Computer Science, Data Science, or related quantitative field.
Strong programming experience in Python with capability to build production-quality analytical software.
Experience in operations research techniques including optimization solvers (Gurobi, CPLEX, OR-Tools) and simulation platforms (AnyLogic preferred, or Simio, Arena).
Work Experience Required: Not explicitly mentioned in the JD.
Expert in quantitative modeling with hands-on software engineering skills to deliver scalable, production-ready data-driven solutions.
Experienced in digital twin development and scenario analysis to support supply chain resilience and operational planning.
Able to collaborate cross-functionally and communicate complex technical concepts to both technical and non-technical stakeholders.