Health Data Scientist

Booz Allen Hamilton • Bethesda, MD

2d

About The Position

Health Data Scientist The Opportunity: Are you ready to combine your expertise in health communication, data analytics, and behavioral research to push the boundaries of data-driven health interventions? Are you fascinated by the interplay between data, human behavior, and artificial intelligence? In today’s increasingly complex and connected world, innovative approaches to health data analytics are essential for empowering interventions that support vulnerable populations and reduce health disparities. As a Health Data Scientist, you’ll join a dynamic team focused on turning complex datasets into actionable solutions that impact both public health and private sectors. You'll leverage your expertise in mixed-methods research, statistical methodologies, and data modeling to deliver real-world solutions. Your ability to synthesize complex data—whether analyzing health communication trends, identifying behavioral patterns, or modeling health risks—will be critical for tackling global health challenges. With advancements in AI as part of your toolkit, you’ll help design processes and insights that guide transformational decision-making. If you’re a results-driven professional with a passion for innovation, stakeholder collaboration, and creating change through data, this is the role where your talents will truly make a difference. Join us. The world can’t wait.

Requirements

• 3+ years of experience leveraging statistical programming languages, such as Python or R, to develop data models, analyze quantitative datasets, and deliver evidence-based insights
• Experience in quantitative and qualitative research, including interviews, surveys, and behavioral modeling
• Experience with statistical analysis, data preprocessing techniques, and feature engineering
• Experience conducting methodologies to inform healthcare solutions, such as cluster analysis or burden-of-illness calculations
• Experience in collaborating with various stakeholders and large health data sets derived from real-world data, including from public health agencies, healthcare systems, and community-based organizations, to guide data-driven decision-making
• Experience in creating health data dashboards and communicating findings using tools such as Tableau or Power BI
• Experience in working with large datasets and querying databases using SQL or Spark
• Ability to present complex findings to technical and non-technical audiences
• Public Trust
• Doctorate degree in a Biological Sciences, Epidemiology, Public Health, Social and Behavioral Sciences, or Data Science field

Nice To Haves

• 2+ years of experience in Artificial Intelligence, including Machine Learning, Agentic AI, or Natural Language Processing
• Experience with machine learning libraries and tools such as TensorFlow, Scikit-learn, or PyTorch
• Experience using cloud services, such as AWS, GCP, or Azure to manage or analyze datasets
• Experience working in healthcare systems, public health programs, or medical device analytics
• Possession of strong written and verbal communication skills

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree