Analytical Epidemiologist

Analytical Epidemiologist

The Opportunity: 

Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by health science, technology, and the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As an Analytical Epidemiologist, you can turn these complex data sets into useful information to improve human health and solve global challenges. Across private and public sectors from fraud detection to cancer research, to national intelligence, you know the answers are in the data. 

We have an opportunity for you to use your analytical skills to improve public health. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll analyze analytics and automation and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help the client make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in public health. This role is located in Atlanta, GA.

Join us. The world can’t wait. 

You Have: 

• 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 write communication through the development of standard operation procedures (SOPs), analytic reports, or manuscripts submitted for publication 
• Ability to conduct analysis, interpretation, and communication of complex, large datasets independently, 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 If You Have: 

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

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.

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 $61,900.00 to $141,000.00 (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 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.