Analytical Epidemiologist

Booz Allen Hamilton • Atlanta, GA

7d

About The Position

As an Analytical Epidemiologist, you will use data science and analytical skills to improve public health. You will work closely with customers to understand their questions and needs, analyze data in a data-rich environment, and select appropriate tools and frameworks to turn disparate data into objective answers. You will help customers understand their data and use it to make informed decisions. The position is located in Atlanta, Georgia.

Applicants selected will be subject to a government investigation and may need to meet U.S. government client eligibility requirements. The position requires the ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.

Requirements

• Experience performing data manipulation, cleaning, analysis, or visualization in Python and PySpark.
• Experience with program documentation.
• Experience with data visualization applications such as Tableau, Power BI, or Palantir Foundry Workshop.
• Ability to communicate through standard operating procedures (SOPs), analytical reports, or manuscripts submitted for publication.
• Ability to independently conduct and interpret analysis of complex, large datasets and communicate results clearly and concisely.
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
• Bachelor’s degree in Mathematics, Biostatistics, Epidemiology, or Life Science.

Nice To Haves

• Experience managing data integrity for large-scale datasets.
• Experience working in mixed-discipline teams.
• Experience with geospatial data and data visualizations.
• Master’s degree in Mathematics, Biostatistics, Epidemiology, or Life Science.

Responsibilities

• Work with customers to understand their questions and needs.
• Analyze data and use appropriate tools and frameworks to produce objective answers that inform client decisions.
• Explain the data and its meaning to customers, including how they can use it.
• Perform data manipulation, cleaning, analysis, or visualization using Python and PySpark.
• Develop program documentation and communicate findings through standard operating procedures, analytical reports, or manuscripts submitted for publication.
• Conduct, interpret, and clearly communicate analysis of complex, large datasets independently.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards program.

What This Job Offers

• Job Type: Full-time