Healthcare Statistical Analyst

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Suitability:

Public Trust/Other Required:

Job Family:

Statistical Analysis

Job Qualifications:

Skills:

Analytical Thinking, Statistical Analysis Techniques, Statistical Methods

Certifications:

Experience:

3 + years of related experience

US Citizenship Required:

No

Job Description:

Deliver insights to help our clients turn data into action as a Healthcare Statistical Analyst at GDIT. Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career.

At GDIT, people are our differentiator. As a Healthcare Statistical Analyst you will help ensure today is safe and tomorrow is smarter. Our work depends on a Healthcare Statistical Analyst 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 prescription drug data and expenditures within Medicare to support the provisions of the Inflation Reduction Act including the Drug Price Negotiation Program and the Medicare Part B and D Inflation Reduction Program.
 

HOW A HEALTHCARE STATISTICAL ANALYST WILL MAKE AN IMPACT

• Gathers, analyzes, and interprets a wide variety of data
• Describe interactions with the team to achieve the mission
• Indicate how they will work with the team to resolve challenges
• Highlight any unique team dynamics
• Add relevant responsibilities and describe why work is meaningful
• Specify how they will use relevant skills or technologies in the role
• Conduct complex analytic studies using statistical techniques, formulas, and calculations against a variety of claims and enrollment data to support program decision making.
• Present statistical and analytic findings to the team in a variety of formats including charts, tables, graphs that enable easy interpretation of results.
• Create and maintain efficient and accurate statistical and analytic code using tools such as SAS, Stata, R, etc.
• Apply statistical or modeling techniques to compare healthcare outcomes, pricing, and health economic modeling.
• 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 TO SUCCEED:

Positions are available at the following three levels:

Junior Healthcare Statistical Analyst

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

Senior Healthcare Statistical Analyst

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

Advisor Healthcare Statistical Analyst 

• Master’s degree in statistics, data science, mathematics, or equivalent master’s degree with a focus on statistical methods and 8+ years of relevant experience
• 5+ years of exp