This is a remote position.
If you enjoy solving complex problems with data and statistics, this is an opportunity to make a meaningful impact. You'll analyze healthcare payment and medical review data, contribute to federal healthcare policy research, and work with a multidisciplinary team to deliver high-quality analytical solutions.
Responsibilities:
Integrate datasets tracking healthcare billing and payment, medical reviews, and related operations
Construct summaries and analyses for monitoring healthcare payments and evaluating medical review activities
Contribute statistical expertise to research questions related to federal healthcare policies and payments
Collaborate with a multi-skilled team of analysts and policy experts on project-based work
Required Qualifications:
Master’s degree or higher in an analytical field, such as statistics, mathematics, economics, or epidemiology, or similar academic experience
Proficiency in statistical theory related to statistical sampling, estimation, and hypothesis testing
Proficiency in Excel
Proficiency in programming for data analysis in a language such as Python, R, SAS, or STATA
Preferred Qualifications:
2+ years in data analysis related to Medicare
Experience applying statistical sampling, estimation, and hypothesis testing (academic research projects considered)
Data analysis proficiency in Python
Querying proficiency in SQL
Other Requirements:
Eligibility for federal background checks, including residence in the United States for at least 3 years out of the past 5 years
| Location | Remote, DC (Remote) |
| Salary | $80,000–$90,000 |
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