Python Developer, Health Data Analyst
1 month ago
American Institutes for Research is seeking a skilled Python Programmer, Health to join our Health team. Our team of experts works collaboratively to unravel the complex challenges of healthcare quality, costs, and access.
Key Responsibilities- Apply quantitative methods and techniques to manage and analyze research data.
- Construct, clean, and document large datasets for both internal and project-related use.
- Conduct literature reviews of technical and professional publications.
- Create customized and presentation-quality reports from data analysis results.
- Participate in the design of research studies.
- Manage administrative aspects of projects.
- Support the preparation of technical procedures and reports.
- Write, compile, and edit assigned portions of proposals and project reports.
- Review work products to ensure quality and consistency of content.
To be successful in this role, you will need:
- A Bachelor's degree in Data Analytics, Mathematics, or a related quantitative analytics field with a minimum of 2 years of quantitative research experience in health policy or a related field, or a Master's degree in a quantitative analytics field, health policy, public policy, or public health.
- Strong knowledge of data analysis and data management techniques.
- Experience with Python programming.
- Experience with statistical packages like SAS is preferred but not required.
- Experience analyzing Medicare, Medicaid, or other commercial claims data is preferred but not required.
- Proposal and report preparation experience is preferred but not required.
We are looking for individuals with:
- Quantitative research skills.
- Strong attention to detail and commitment to accuracy.
- Excellent interpersonal skills to ensure effective communication with individuals at all levels and from diverse backgrounds.
- Strong organizational skills.
- Ability to learn quickly, take direction, and work collaboratively.
We are an equal opportunities employer and welcome applications from diverse candidates.
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