Sr. Data Scientist – AI Driven Operations Research
Core
Design and implement advanced analytical models using operations research, digital twin modeling, simulation, and optimization to solve complex clinical and commercial supply chain challenges for drug development, manufacturing, and patient delivery.
Role type
Senior IC data scientist (operations research & optimization)
Builds
Scalable decision-support tools, digital twin capabilities, and production-ready analytical applications for global supply chain operations.
Domain
Life sciences / Pharmaceutical supply chain
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Operations research modeling, Mixed Integer Linear Programming, Discrete Event Simulation, Monte Carlo simulation, stochastic modeling, Python programming, optimization solver usage, software engineering practices, SQL, data architecture
Preferred skills
Digital twin platform experience, machine learning, predictive analytics, pharma compliance knowledge (GxP, HIPAA), AnyLogic/Simio/Arena familiarity
Technologies
Python, Gurobi, CPLEX, OR-Tools, AnyLogic, Simio, Arena
Responsibilities
Design and implement advanced analytical models using operations research techniques; Build scalable decision-support tools for scenario analysis and strategic tradeoff evaluation; Analyze supply chain performance under uncertainty to provide data-driven recommendations; Support development and deployment of enterprise digital twin capabilities; Architect, develop, and maintain modular Python-based analytics and simulation applications; Explore emerging technologies and contribute to technical standards and reusable modeling frameworks; Collaborate cross-functionally to deliver practical, data-driven solutions; Communicate technical concepts, model assumptions, and analytical findings to technical and non-technical audiences.
Seniority
Senior, hands-on IC
