Booz Allen is looking to solve global challenges by turning complex data sets into useful information, specifically in the healthcare sector, using data science, IoT, machine learning, and artificial intelligence.
Requirements
- 5+ years of experience performing data management and analysis with large health care data sets in SAS, Epi Info, SQL, Python, or R
- Experience working with health data standards such as HL7, X12, FHIR, or CDA, or epidemiological analytics
- Ability to apply statistical and mathematical principles in a public health context, including developing predictive data models, regression analysis, and creating data visualizations on real-world data
- Experience with Veterans Health Administration health record data
- Knowledge of major Electronic Health Record solutions
- Ability to apply project management tools and techniques, as well as change management theory and applications
- Proficiency in programming languages such as Python, R, or SQL
Responsibilities
- Create real-world impact by using leadership skills and data science expertise
- Work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle
- Guide teammates and lead the development of algorithms and systems
- Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise clients as they make informed decisions
- Provide a deep understanding of the data, what it all means, and how it can be used
- Perform data management tasks on very large datasets, including complex joins, and automation techniques to execute repetitive tasks
- Apply statistical and mathematical principles in a public health context, including developing predictive data models, regression analysis, and creating data visualizations on real-world data
Other
- Ability to communicate complex technical information effectively to a variety of audiences
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
- Bachelor’s degree in Biostatistics, Health Informatics, Epidemiology, or Computer Science
- Master’s degree in Public Health, Bioinformatics, Statistics, or Computer Science
- Ability to work in a team environment and collaborate with colleagues
