Lead and support the design, development, and implementation of advanced programming solutions for large-scale health research and evaluation projects.
Oversee data management workflows, including data extraction, transformation, validation, and integration from multiple sources (e.g., claims, EHR, survey data).
Develop and optimize reusable code libraries, macros, and templates to improve efficiency and consistency across projects.
Conduct complex statistical analyses and generate high-quality outputs including tables, listings, and visualizations for technical reports and publications.
Provide technical leadership and mentorship to programming teams, including code reviews, training, and guidance on best practices.
Collaborate with statisticians, researchers, and data scientists to translate analytical requirements into executable code.
Ensure compliance with data security protocols and regulatory requirements in secure computing environments.
Contribute to proposal development by designing analytic approaches, estimating level of effort, and drafting technical sections.
Identify and implement process improvements to enhance data quality, reproducibility, and workflow automation.
Represent AIR in client meetings and technical discussions, communicating complex programming concepts clearly and effectively.

Bachelor’s degree in Statistics, Data Science, Public Health, Economics, Epidemiology, or a related quantitative field; Master’s degree preferred.
Minimum of 8 years of hands-on experience in SAS programming, including experience with large-scale administrative or healthcare datasets.
Demonstrated leadership in managing programming teams and delivering high-impact analytic products.
Experience working in secure or virtual research environments and familiarity with data governance best practices.
Experience with other statistical or data science tools (e.g., R, Python, SQL) is preferred, but not required.

Senior Systems Programmer, Healthcare Innovations

Key skills