Simulation and Analytics Specialist

The Simulation and Analytics Specialist supports the design, development, and implementation of advanced analytics, business intelligence solutions, and simulation models that improve quality, safety, operational efficiency, and strategic decision-making across Dana-Farber Cancer Institute.

Reporting to the Director of Health Systems Improvement within the Department of Quality and Patient Safety, this role partners with clinical, operational, and business leaders to transform operational and clinical data into actionable insights. The specialist integrates data from multiple enterprise systems, builds simulation models, conducts scenario analyses, collects manual time studies, and supports process improvement initiatives related to patient flow, staffing, capacity planning, quality improvement, and strategic growth.

Working with a broad range of healthcare data—including Epic (clinical, scheduling, and operational), quality, and other enterprise data sources—the specialist develops decision-support tools that help leaders evaluate current performance, forecast future demand, optimize resource utilization, and improve patient care.

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations.

We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

• Leads the development and delivery of analytics solutions that support clinical, operational, and strategic decision-making across the organization. Manages multiple, concurrent analytics-and-simulation initiatives, partnering with clinical, operational, and administrative stakeholders to define business needs, establish project scope, and translate operational questions into actionable analytical solutions. Collaborates with internal partners to identify appropriate data sources, gather business requirements, and ensure data integrity.
• Develops SQL queries to extract, validate, and integrate data from enterprise-data warehouses and operational systems.
• Designs, builds, and maintains interactive dashboards, scorecards, and visualizations using Tableau or similar business-intelligence platforms. Contributes to the development of standardized reporting assets and enterprise-analytics capabilities that can be leveraged across multiple initiatives.
• Supports stakeholder adoption through training, documentation, and ongoing optimization of dashboards and analytical tools.

• Develops, implements, and maintains simulation models that support operational planning, capacity management, and process redesign across clinical and administrative environments. Designs models representing patient flow, staffing, scheduling, clinic operations, and space utilization using Flex Sim, Python, Simio, Arena, or comparable simulation platforms.
• Conducts scenario analyses and  what-if  modeling to evaluate operational alternatives, forecast resource requirements, and inform strategic planning efforts. Analyzes simulation outputs to identify bottlenecks, evaluate improvement opportunities, and support data-driven operational decisions.
• Validates simulation models using historical operational…