Medicaid Big-Data Programmer (Hybrid)

Georgetown University; Washington (District of Columbia); Hybrid; USD 66,783 - 126,720; Full time

Job summary

Georgetown University is seeking a Programmer in the Department of Health Management and Policy within the School of Health to work on large Medicaid-related datasets. You will engage in policy-relevant research using TAF data, contribute to publications, and support project management and cross-institution collaborations.

The role is full-time, temporary for one year with potential renewal, and designated hybrid in mode of work.

Qualifications

• Master-level degree or higher in data science, public policy, public health, economics, social sciences, computer science, or a related field with 7 to 8 years’ experience.
• Familiarity with Python and SQL is required.
• Preference for experience with Medicaid claims data, Jupiter Notebooks, Github, and Databricks.

Responsibilities

• Analyze large datasets from CMS and other sources.
• Construct tables and figures for publications and presentations.
• Collaborate with PI on research questions and methodology.
• Serve as data custodian for project and work with project manager on logistics.
• Collaborate with researchers across different institutions.

Skills

Python

SQL

Data analysis

Medicaid data experience

Education

Master’s degree in data-related field

Tools

Jupyter Notebooks

GitHub

Databricks

Job description

Georgetown University is seeking a Programmer in the Department of Health Management and Policy within the School of Health to work on large Medicaid-related datasets. You will engage in policy-relevant research using TAF data, contribute to publications, and support project management and cross-institution collaborations.

The role is full-time, temporary for one year with potential renewal, and designated hybrid in mode of work.