Biosurveillance Data Scientist

Booz Allen Hamilton

Booz Allen Hamilton is at the forefront of using data science to address global challenges. As a Biosurveillance Data Scientist, you will explore the potential within data to find solutions for significant issues ranging from fraud detection to national intelligence. This role involves working with clients to delve deep into data-rich environments, developing algorithms, and translating data into actionable insights.

In this role you can expect to have the responsibilities:

• Lead the development of data science algorithms and systems.
• Collaborate with clients to understand their data needs.
• Transform complex datasets into actionable information.
• Guide team members in data science projects.

This role comes with the following benefits:

• Comprehensive health, life, and disability insurance.
• Financial and retirement planning benefits.
• Paid leave and work-life program support.
• Recognition awards for exceptional performance.
• Professional development and tuition assistance.

This role requires you to have:

• 5+ years as a data scientist, machine learning engineer, or bioinformatician.
• Experience with Python development and high-throughput molecular datasets.
• Skills in electronic health data analysis and machine learning solutions.
• Proficient in statistical analysis and version control like Git.
• Bachelor’s degree.

You would benefit from having:

• Experience with bioinformatics pipelines and cloud computing solutions.
• Knowledge of statistical study design and Agile methodologies.
• Master's degree in bioinformatics, computational biology, or data science.
• Familiarity with modern DevSecOps practices.

Applicants must be able to meet eligibility for security clearance. Booz Allen Hamilton promotes a collaborative culture, supporting flexible work models and non-discrimination policies.