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Advancing Evidence. Improving Lives.
Principal Systems Programmer
Location
United States
Posted
175 days ago
Salary
$150.3K - $200.3K / year
Seniority
Lead
Job Description
Principal Systems Programmer
American Institutes for Research
• Serve as the principal architect for designing data systems to support AIR’s health research projects, ensuring scalability, efficiency, and reproducibility. • Lead cross-functional teams in the development of innovative data solutions, using tools such as Databricks, R, Python, Stata, SAS, and Git. • Provide strategic oversight of data management and analytics pipelines, including governance, automation, and quality assurance. • Design and implement advanced statistical programming methodologies for complex longitudinal, hierarchical, and multi-source datasets. • Act as a senior advisor to project directors, statisticians, and clients on data strategy, analytic design, and technical feasibility. • Spearhead the development of enterprise-wide programming standards, reusable assets, and documentation practices. • Mentor and coach senior programmers and analysts, fostering a culture of technical excellence and continuous learning. • Lead technical contributions to proposals, including conceptualizing analytic frameworks, developing budgets, and writing compelling technical narratives. • Represent AIR in high-level client engagements, conferences, and professional forums. • Monitor emerging technologies and trends in data science and health analytics, recommending strategic investments and innovations.
Job Requirements
- Master’s degree or higher in Statistics, Data Science, Public Health, Epidemiology, Economics, or a related quantitative discipline or equivalent work experience.
- Minimum of 11 years of progressive experience in programming health data, with demonstrated impact in health research or evaluation.
- Demonstrated experience using Medicare and Medicaid enrollment and claims/encounter data within CMS environments (e.g. IDR, CCW, VRDC).
- Demonstrated experience designing complex data systems drawing from multiple data sources.
- Proven track record of leading large-scale, multi-disciplinary data projects and teams.
- Deep experience with secure computing environments, data privacy regulations (e.g., HIPAA), and governance frameworks.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
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