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U.S. Department of Health and Human Services

Student Internship

U.S. Department of Health and Human Services
Office of the Assistant Secretary for Preparedness and Response

Office of Security, Intelligence, and Information Management
Information Management Division
Modeling and Simulation Branch

Position Type: Student Internship
Term: Spring Semester

Application Deadline:  December 17, 2021


The Modeling and Simulation (M&S) Branch, within the Office of Security, Intelligence, and Information Management, is currently accepting resumes for unpaid student internship opportunities. The interns have exposure to many areas of the Office of the Assistant Secretary for Preparedness and Response (ASPR) within the U.S. Department of Health and Human Services (HHS). Depending on the COVID-19 situation at the time of the internship, this position may be partially or fully remote. This is an exciting opportunity for current students interested in public health preparedness and response. For more information about ASPR please visit The M&S Branch provides modeling, quantitative analysis, and related computational capabilities development support to aid federal decision makers in planning and responding to pandemic influenza; emerging infectious disease (EID) outbreaks; chemical, biological, radiological, nuclear (CBRN) incidents; or natural disasters.

Position Description

The student interns will work directly within the Modeling and Simulation Branch to support the team with data set identification, parametrizing epidemiological models, or automating analysis workflows. The internship schedule is flexible and will be determined based on the selected student’s course schedule and/or requirements set by their program of study.

Who should apply?

This internship would benefit a current master’s level graduate student interested in data science, epidemiological modeling, and public health preparedness.

Required Skills

  • Data science background (e.g. statistics, mathematics, computational analysis, engineering), which can be applied to epidemiological modeling, clinical trial studies/drug development, or public health related projects

  • Knowledge of programming languages and software for the analysis and/or visualization of scientific data (e.g. C++, Java, R, Python, SAS, SPSS)

  • Ability to write scripts to automate data cleaning or workflows

Potential Projects

  • Identifying relevant data sets (ranging from epidemiology of a disease, population behaviors, or supply chain) and curating or cleaning the data

  • Literature review and data analysis to derive parameters for models (e.g. for an in-house agent-based model compartmental model). Automation of processes through scripting for ad hoc data analysis or reporting


How to apply?

Interested students should send their cover letter and resumes to by December 17, 2021.  For additional information or questions please contact LCDR Latasha Allen at .

  • This page last reviewed: November 19, 2021