Principal Systems Programmer
American Institutes for Research
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $150,250 - $200,340 per year
Job Level
Lead
Tech Stack
Python
About the role
- 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.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data systems designstatistical programmingdata managementanalytics pipelinesdata governanceautomationquality assurancelongitudinal data analysishierarchical data analysismulti-source data integration
Soft skills
leadershipmentoringstrategic oversightcommunicationcollaborationtechnical excellencecontinuous learningclient engagementproposal developmentinnovation
Certifications
Master’s degreeStatisticsData SciencePublic HealthEpidemiologyEconomics