Data Analyst/Statistician (Medicare/Medicaid)

At GDIT, people are our differentiators. As Data Analyst/Statistician you will lay the groundwork for program integrity to be followed and expanded as newly implemented government programs grow.

Our work depends on a Data Analyst/Statistician joining our team to support the Centers for Medicare and Medicaid Services. You will support a diverse and multi-disciplinary team in the analysis of drug-related payment and remittance advices, including stakeholder disputes and complaints, within Medicare to support the Medicare Drug Price Negotiation Program (hereafter Negotiation Program) as established under the Inflation Reduction Act.

HOW YOU WILL MAKE AN IMPACT:

• Conduct complex analytic studies using statistical techniques, formulas, and calculations against a variety of healthcare data to support program decision making.
• Present statistical and analytic findings to the team in a variety of formats including charts, tables, and graphs that enable easy interpretation of results.
• Create and maintain efficient and accurate statistical and analytic code using tools such as Python, SAS, Stata, R, etc.
• Apply statistical or analytic modeling techniques to compare, measure, and provide oversight to pricing behaviors, stakeholder activities, and areas of interest
• Ensure the quality of analysis using rigorous techniques for validation, data integrity, error checking, etc.
• Work with a diverse team integrating a range of knowledge (e.g., clinical, statistical, pharmaceutical, etc.) to produce the highest quality outcome for our client.
• Prepare and provide presentations of material to team members, leadership, and our customer as required.

WHAT YOU'LL NEED (REQUIRED):

• Bachelor's degree in statistics, data science, mathematics, or equivalent master’s degree with a focus on statistical methods
• Five years of experience working with Medicare or Medicaid or private healthcare payer as a statistician or healthcare economist
• Five years of experience working with healthcare data including pharmacy claims, and NDCs
• Proficiency in statistical software including Python, SAS, STATA, or R
• Advanced knowledge of statistical methods, techniques, formulas, and tests
• Experience summarizing and presenting complex analytic findings

WHAT WOULD BE EVEN BETTER (PREFERRED):

• Masters Degree
• Knowledge of Medicare payment policy preferred