Health Computational Modeler

Booz Allen Hamilton; Bethesda (MD); On-site; USD 90,000 - 150,000; Full time

Job summary

Booz Allen Hamilton is seeking a Computational Modeler to design, develop, and maintain advanced computational models focused on resource allocation, infectious disease dynamics, outbreak forecasting, and response planning. You will translate complex epidemiological data into actionable insights by building robust models, integrating data sources, and developing reliable, scalable simulation workflows.

You will provide technical leadership across modeling initiatives, establish best practices

Qualifications

• 3+ years of experience in computational modeling and simulation, including outbreaks or response planning.
• Experience with advanced epidemiological models (compartmental, discrete-event).
• Proficiency in Python, R, MATLAB, or Julia.
• Experience building reliable simulation workflows with testing, logging, and monitoring.
• Knowledge of statistics, calibration, data assimilation, and model validation.
• Ability to write clean, well-documented code and provide technical leadership.

Responsibilities

• Design, develop, and maintain advanced models for resource allocation and outbreak forecasting.
• Translate epidemiological data into actionable insights for decision-makers.
• Lead cross-functional modeling initiatives and establish modeling standards.
• Improve model performance, reliability, and scalability of simulation workflows.
• Collaborate with epidemiologists, data scientists, and engineers to deliver results.

Skills

Computational modeling

Epidemiology

Python

R

MATLAB

Julia

Simulation workflows

Model validation

Data analysis

Technical leadership

Clear communication

Public Trust clearance

Education

Bachelor’s degree in Computational Science, Operations Research, Industrial Engineering, Epidemiology, Mathematics, or Computer Science

Tools

Streamlit

Shiny

Dash

AWS

Azure

Job description

Join a culture of empowerment and connectivity.

Develop your craft

Learn the skills you need to accelerate your career.

Discover benefits that support your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

As a Computational Modeler, you will design, develop, and maintain advanced computational models focused on resource allocation, infectious disease dynamics, outbreak forecasting, and response planning. You will translate complex epidemiological data into actionable insights by building robust models, integrating data sources, and developing reliable, scalable simulation workflows.

You will provide technical leadership across modeling initiatives, establish best practices for model development and validation, improve model performance and reliability, and collaborate with epidemiologists, data scientists, engineers, and other cross-functional partners.

Join us. The world can't wait.

You Have:

• 3+ years of experience in computational modeling and simulation, including supporting infectious disease events, outbreaks, forecasting, or response planning
• Experience developing and applying advanced epidemiological models, such as compartmental models and discrete event simulation
• Experience in Python, R, MATLAB, or Julia
• Experience designing and deploying reliable simulation workflows, including testing, logging, monitoring, error handling, and performance optimization
• Knowledge of statistical modeling, model calibration, data assimilation, uncertainty quantification, and model validation
• Ability to write clean, efficient, and well-documented code for model development, analysis, and data transformation
• Ability to provide technical leadership, establish modeling standards, mentor colleagues, and communicate complex concepts to technical and nontechnical audiences
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor’s degree in Computational Science, Operations Research, Industrial Engineering, Epidemiology, Mathematics, or Computer Science

Nice If You Have:

• Experience leading cross-functional computational modeling or epidemiological research projects
• Experience deploying and operating production-grade modeling or simulation systems
• Experience integrating and analyzing complex epidemiological or health-related data sources, and building interactive dashboards, such as Streamlit, Shiny, or Dash, to communicate findings
• Experience with AI-assisted code development tools, such as Claude Code, OpenCode, or similar, to support efficient, high-quality software development
• Experience using cloud platforms and cloud-native services, such as AWS or Azure, for scalable modeling and data processing
• Knowledge of data governance, data lineage, privacy, and compliance requirements for epidemiological or health data, including tools such as Apache Atlas, AWS Glue Data Catalog, or Collibra