Research Scientist

• Assist with analysis for the NICU Over-Utilization research project
• Analyze how regional supply of NICU beds impacts discretionary NICU admissions
• Assist with completing a research paper
• Assist with completing a research grant submission

Temporary Research Assistant

• Assist with analysis for the NICU Over-Utilization research project
• Research how regional supply of NICU beds impacts discretionary NICU admissions
• Assist with completing a research paper
• Assist with completing a research grant submission

• Design, build, and scale simulation, optimization, digital twin, and decision-support capabilities across Therapeutics Development & Supply, including CMC and Clinical Supply Chain
• Translate development, manufacturing, portfolio, capacity, resource, and clinical supply processes into rigorous computational models
• Formulate and solve optimization problems involving portfolio prioritization, resource allocation, capacity planning, and resource scheduling
• Apply linear and mixed-integer programming, nonlinear optimization, stochastic programming, decomposition, heuristics, and multi-objective methods
• Develop models that make constraints, uncertainty, risk, and tradeoffs explicit and convert outputs into decision recommendations
• Design, build, validate, and maintain digital twins of TDS and CSC operations
• Develop discrete-event, Monte Carlo, agent-based, system dynamics, and hybrid simulations
• Establish practices for model verification, validation, calibration, sensitivity analysis, uncertainty quantification, and performance monitoring
• Create reusable modeling components and platforms across products, programs, sites, and business processes
• Develop robust, reusable modeling workflows and decision-support products using Python, scientific computing, optimization, simulation, and cloud-based tooling
• Apply software engineering best practices including modular design, version control, testing, documentation, reproducibility, code review, and maintainable interfaces
• Partner with data engineering, product, architecture, and platform teams to integrate models with enterprise data and workflows
• Partner with leaders and subject-matter experts across TDS, CSC, technical operations, portfolio management, finance, and digital organizations
• Lead technical work across multiple initiatives as a hands-on modeler and developer
• Communicate assumptions, limitations, results, and recommendations to technical and non-technical audiences
• Mentor colleagues and provide technical direction to internal teams, consultants, and external collaborators

Principal Scientist, Operations Research – Decision Science

• Design, build, and scale simulation, optimization, digital twin, and decision-support capabilities across Therapeutics Development & Supply
• Formulate and solve optimization problems involving portfolio prioritization, resource allocation, capacity planning, and resource scheduling
• Apply linear and mixed-integer programming, nonlinear optimization, stochastic programming, decomposition, heuristics, and multi-objective methods
• Develop models that make constraints, uncertainty, risk, and tradeoffs explicit and convert outputs into decision recommendations
• Design, build, validate, and maintain digital twins of TDS and clinical supply chain operations
• Develop discrete-event, Monte Carlo, agent-based, system dynamics, and hybrid simulations
• Establish practices for model verification, validation, calibration, sensitivity analysis, uncertainty quantification, and performance monitoring
• Create reusable modeling components and platforms across products, programs, sites, and business processes
• Develop reusable modeling workflows and decision-support products using Python, scientific computing, optimization, simulation, and cloud-based tooling
• Apply software engineering practices including modular design, version control, testing, documentation, reproducibility, code review, and maintainable interfaces
• Integrate models with enterprise data and embed outputs into recurring planning and operational workflows
• Partner with leaders and subject-matter experts across TDS, clinical supply chain, technical operations, portfolio management, finance, and digital organizations
• Lead technical work across multiple initiatives as a hands-on modeler and developer
• Communicate model assumptions, limitations, results, and recommendations to technical and non-technical audiences
• Mentor colleagues and provide technical direction to internal teams, consultants, and external collaborators

Research Scientist jobs in Pennsylvania

Temporary Research Assistant

Temporary Research Assistant

Principal Scientist, Operations Research – Decision Science

Principal Scientist – Operations Research & Decision Science