Humana's Healthcare Quality & Reporting Improvement (HQRI) department is seeking a Research Scientist 2 to join a high-performing team dedicated to advancing predictive modeling and analytics in support of our Medicare and Medicaid business. The HQRI team plays a pivotal role within Humana, delivering insights that drive the effectiveness of risk adjustment initiatives.
Requirements
- Experience with one of the following: SQL, SAS, R or Python
- Experience using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions
- Capable of making decisions regarding own work methods, occasionally in ambiguous situations
Responsibilities
- participates in research study design, analysis and interpretation of results, with special emphasis on statistical and analytical plan development; data acquisition, preparation, and management; statistical analysis and interpretation of findings.
- apply advanced statistical methods to rigorously evaluate the impact of risk adjustment programs and pilot projects.
- partner with a senior research scientist
- collaborate with colleagues specializing in data science and actuarial analytics.
- contributing with their unique expertise in statistical analysis.
- take ownership of an existing program evaluation project
- support a portfolio of program evaluation methods, and take ownership of new project(s) in valuation or analytics
Other
- Bachelor's Degree and 3+ years of technical experience
- Master's degree or higher education
- Experience in health care, insurance, or risk adjustment
- This position is remote and work can be performed anywhere in the US; however, preference is for candidates to be located within reasonable commutable distance to Louisville, Kentucky.
- occasional travel to Humana's offices for training or meetings may be required.
