Research Python Programmer, Data Analyst

Role Overview

• 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

Requirements

• BS/BA or advanced degree in data science, computer science, statistics, social sciences, health policy or related field with at least 8 years of programming experience OR equivalent combination of education and experience
• Minimum of 8 years of combined experience with Python, SAS or SQL analytical coding with demonstrated expertise in the linkage of various types of data files
• At least 4 years of the minimum experience must be comprised of leveraging Python and/or SQL for analytic programming purposes
• Programming experience using data stored in relational databases such as Teradata, Snowflake, DB2, Oracle, and SQL Server
• Healthcare industry experience, analytic experience in work with the Centers for Medicare & Medicaid Services (CMS) and/or knowledge of healthcare terminology and taxonomy/classification systems (e.g., ICD-10, CPT, HCPCS)
• Experience designing and implementing flexible, reusable, scalable, computationally efficient and easily maintainable programming code for use across multiple projects
• Demonstrated understanding of analytic programming quality and best practices, including experience with QA/QC procedures (e.g., peer review of code, parallel programming)
• Demonstrated experience with all phases of the Analytic Development Life Cycle
• Organizational and planning skills that enable independent work while contributing to a team effort
• Analytic thinker with exceptional attention to quality and detail
• Good interpersonal skills, including written and oral English-language skills
• Applicants must be legally authorized to work in the United States, have lived in the United States for at least 3 of the last 5 years, and should not require now, or in the future, sponsorship for employment visa status

Tech Stack

• Oracle
• Python
• SQL

Benefits

• Competitive base salary
• Generous paid time off policy
• Merit based annual increases
• Bonus opportunities
• Robust recognition program
• Competitive range of insurance plans (including health, dental, life, and short-term and long-term disability)
• Access to a retirement savings program such as a 401(k) plan
• Paid parental leave for all parents
• Financial assistance with adoption expenses or infertility treatments
• Financial reimbursement for education and developmental opportunities
• Employee assistance program
• Numerous other offerings to support a healthy work-life balance