The Defense Health Agency (DHA) is looking to improve health care delivery and contain costs by identifying opportunities for improvement in the use of its resources, involving multiple programs across the DHA.
Requirements
- Knowledge of relational database software; SQL
- Experience in applied statistics using R, Python, SPSS, or SAS or other statistical programs.
- Experience in using medical/clinical/health data, health care data analysis.
- Skill in programming and the application of advanced techniques and data science to apply SQL hosted on enterprise and/or tactical computing infrastructures.
- Skill in using open-source statistical packages (e.g., R, Python), and commercial analytic tools (e.g., Tableau, MS Excel).
- Knowledge of statistical and data warehousing software to support analytic efforts.
- Knowledge of interactive data visualization products such as Tableau and Power BI.
Responsibilities
- Assists in building and maintaining models using facilities, environmental, clinical, operational, personnel, and cost/expense data in support of DHA FE.
- Provides support to the government on the modification, implementation, integration, and sustainment of data and data processes, including data loading, processing, and standardization techniques using SQL queries and stored procedures.
- Performs analytical studies using accepted data science techniques to provide insight into areas of trending/improvement opportunities based on FE data and leadership direction.
- Develops system data models to aid descriptive and predictive analysis of the DHA facilities, and healthcare system.
- Builds predictive models using a variety of statistical, established, and innovative, techniques.
- Develops, maintains, and utilizes data management techniques such as relational databases to manage the flow of information between organizations and various information systems within the DHA, MHS or other Government agencies, where appropriate.
- Tests and evaluate new software packages.
Other
- Bachelor’s degree in health services research, Biostatistics, Statistics, Mathematics, Computer Science, Business Administration, Management, Economics or related quantitative field of study.
- Two (2) years’ experience working in healthcare and facility data quality improvement.
- Excellent client-facing and internal communication skills.
- Excellent written and verbal communication skills.
- Requires strong knowledge of English composition and grammatical rules.
- Ability to critically examine, evaluate, and problem-solve.
