The 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 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
• 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.

Compensation

At 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.

Identity Statement

As 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 against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.