Health Computational Modeler Skills

• Resource Allocation
• Dynamics
• Forecasting
• Python
• R• MATLAB• Julia• Workflow• Testing• Statistical Models• IT Management• Mentorship• Research• Dashboard• Dash Python• Software Development• Cloud Computing• Microsoft Azure• Data Processing• Data Governance• Privacy• Regulatory Compliance• Apache Atlas• Amazon Web Services• Software Engineering• Modeling• Git• Version Control• Automated Testing• Performance Tuning• Epidemiology• Computational Science• Operations Research• Industrial Engineering• Mathematics• Computer Science• Finance• Professional Development•

SAP BASIS

• Recruiting
• Biometrics
• Fraud
• Artificial Intelligence
• Effective Communication
• Leadership
• Collaboration
• Law
• Resource Allocation
• Dynamics
• Forecasting
• Python
• R• MATLAB• Julia• Workflow• Testing• Statistical Models• IT Management• Mentorship• Research• Dashboard• Dash Python• Software Development• Cloud Computing• Microsoft Azure• Data Processing• Data Governance• Privacy• Regulatory Compliance• Apache Atlas• Amazon Web Services• Software Engineering• Modeling• Git• Version Control• Automated Testing• Performance Tuning• Epidemiology• Computational Science• Operations Research• Industrial Engineering• Mathematics• Computer Science• Finance• Professional Development•

SAP BASIS

• Recruiting
• Biometrics
• Fraud
• Artificial Intelligence
• Effective Communication
• Leadership
• Collaboration
• Law

•

SummaryJob Number:

R0251676

Health Computational ModelerThe Opportunity:

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 ScienceNice 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
• Ability to establish software engineering best practices within modeling teams, including the use of Git for version control, automated testing, logging, and performance optimization
• Master's degree in Epidemiology, Computational Science, Operations Research, Industrial Engineering, Mathematics, Computer Science, or a related Quantitative field preferred; Doctorate degree in Epidemiology, Computational Science, Operations Research, Industrial Engineering, Mathematics, Computer Science, or a related Quantitative field a plus

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

CompensationAt Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,400.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity StatementAs part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect aga... Visit the Employer site for more details