• Apply coding expertise and best practices to query, merge, and analyze complex healthcare data from large relational databases • Leverage a variety of quantitative methods to standardize, blend, and distill data from multiple disparate sources, transforming them into analytic insights for use in client reports, journal manuscripts, abstracts, or posters for professional meetings • Iteratively develop and maintain SAS, SQL, or Python code with an emphasis on increasing efficiency, minimizing computational errors, implementing process improvements, and other approaches that add value to business processes and analytic results • Participate in thorough code review and documentation, as well as parallel coding efforts for other programmers to maintain quality standards • Construct analytic datasets and databases to support deliverables for various public health and healthcare financing engagements • Collaborate with project team members to review, critically evaluate, and refine business requirements, and then translate those requirements into programming logic • Demonstrate established functional leadership skills on projects, including advising and mentoring fellow programmers, proactively resolving day-to-day issues, and developing coding best practices among early-career staff • Support strategic initiatives within the larger programming group and health practice area such as identifying emerging technologies for potential adoption, creating efficiencies or novel coding approaches, mentoring staff, and collaborating with analysts and other programmers • Participating in industry conferences and continuing education on healthcare-related and/or technical coding topics (including learning new coding languages) as applicable to the role and evolving business needs