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Python Programmer, Data Analyst
RTI International. Analyze and synthesize complex qualitative and quantitative administrative health data from multiple sources into meaningful results .
Posted 11/10/2026full-timeRemote • North Carolina • United StatesMid-LevelSenior💰 $91,000 - $112,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Python and SQL for data analysis, with a strong focus on quality assurance and best practices in analytic programming. Capable of synthesizing complex healthcare data into actionable insights while collaborating effectively with project teams.
Highest-signal resume keywords
Python ProgrammingSQL Analytical CodingRelational Database ManagementAnalytic Development Life CycleHealthcare Data Analysis
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisStatistical ProgrammingAnalytic Dataset ConstructionQuality Assurance ProceduresQuantitative Methods
Soft Skills
Analytic ThinkingOrganizational SkillsInterpersonal SkillsAttention to DetailWritten and Oral Communication
Tools & Technologies
TeradataSnowflakeDB2OracleSQL ServerSASJiraGit
Industry Keywords
Healthcare DataCMS Analytic ExperienceICD-10CPTHCPCS
Tech Stack
Tools & technologiesOraclePythonSnowflakeSQL
About the role
Key responsibilities & impact- Analyze and synthesize complex qualitative and quantitative administrative health data from multiple sources into meaningful results
- Provide analytic development and statistical programming knowledge to project teams conducting healthcare data research
- Query, merge, and analyze complex healthcare data from large relational databases
- Use quantitative methods to standardize, blend, and distill disparate data sources into analytic insights for client reports, journal manuscripts, abstracts, and professional meeting posters
- Iteratively develop and maintain Python code using best practices to improve efficiency, minimize computational errors, and improve business processes and analytic results
- Participate in code review, documentation, and parallel coding efforts to maintain quality and enable efficient code transfer
- Construct analytic datasets and databases for public health and healthcare financing engagements
- Collaborate with project team members to refine business requirements and translate them into programming logic
- Work independently, resolve day-to-day issues, and apply coding best practices and standards
- Participate in continuing education on healthcare-related and technical coding topics
- Share insights through staff presentations, collective codebase utilities, and training early-career staff
Requirements
What you’ll need- BS/BA or advanced degree in data science, computer science, statistics, social sciences, health policy or related field with at least 3 years of programming experience OR the equivalent combination of education and experience
- Master’s degree in the same areas and at least 1 year of relevant experience as an equivalent combination of education and experience
- Minimum of 3 years of experience with Python or SQL analytical coding and familiarity with linkage of various types of data files
- Programming experience using data stored in relational databases such as Teradata, Snowflake, DB2, Oracle, and SQL Server
- Experience designing and implementing flexible, reusable, scalable programming code
- Experience with analytic programming quality and best practices, including QA/QC procedures such as peer review of code and parallel programming
- Familiarity with all phases of the Analytic Development Life Cycle and demonstrated experience in at least 1 phase
- Organizational and planning skills enabling independent work while contributing to a team effort
- Analytic thinking with exceptional attention to quality and detail
- Good interpersonal skills, written and oral English-language skills, ability to manage competing deadlines, and ability to work independently while collaborating with project teams
- Legally authorized to work in the United States
- Must have lived in the United States for at least 3 of the last 5 years
- Must not require now or in the future sponsorship for employment visa status
- Preferred: at least 1 year of SAS analytic programming experience
- Preferred: understanding of relational database management concepts
- Preferred: healthcare industry experience, CMS analytic experience, and/or healthcare terminology and taxonomy/classification systems such as ICD-10, CPT, and HCPCS
- Preferred: programming experience in CMS data systems such as IDRC, CCW, or CDR
- Preferred: understanding and use of issue tracking and code versioning tools such as Jira or Git
Benefits
Comp & perks- Competitive base salary
- Generous paid time off policy
- Merit based annual increases
- Bonus opportunities
- Robust recognition program
- Competitive insurance plans, including health, dental, life, and short-term and long-term disability
- 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
- Other offerings to support a healthy work-life balance