Python Programmer, Data Analyst

This is a fully remote position, open to applicants in North Carolina.

📋 Description

• Analyze and integrate complex qualitative and quantitative administrative health data from various sources into actionable insights.

• Offer analytical development and statistical programming expertise to project teams involved in healthcare data research.

• Execute queries, combine, and analyze intricate healthcare data from extensive relational databases.

• Apply quantitative techniques to standardize, merge, and distill diverse data sources into analytical insights for client reports, journal articles, abstracts, and presentations at professional meetings.

• Continuously develop and optimize Python code using best practices to enhance efficiency, reduce computational errors, and refine business processes and analytical outcomes.

• Engage in code reviews, documentation, and collaborative coding initiatives to ensure quality and facilitate effective code transfer.

• Create analytic datasets and databases tailored for public health and healthcare financing projects.

• Work alongside project team members to clarify business requirements and transform them into programming logic.

• Operate independently to address daily challenges while adhering to coding best practices and standards.

• Participate in ongoing education on healthcare-related and technical coding subjects.

• Share knowledge through staff presentations, collaborative code utilities, and training for early-career staff.

⛳️ Requirements

• BS/BA or an advanced degree in data science, computer science, statistics, social sciences, health policy, or a related field, with a minimum of 3 years of programming experience or an equivalent combination of education and experience.

• Master’s degree in the aforementioned fields with at least 1 year of relevant experience as an equivalent combination of education and experience.

• At least 3 years of experience in Python or SQL analytical coding, along with familiarity in linking various types of data files.

• Programming experience with data stored in relational databases such as Teradata, Snowflake, DB2, Oracle, and SQL Server.

• Proven experience in designing and implementing flexible, reusable, and scalable programming code.

• Knowledge of analytic programming quality and best practices, including QA/QC procedures such as peer code review and parallel programming.

• Familiarity with all stages of the Analytic Development Life Cycle and demonstrated experience in at least one phase.

• Strong organizational and planning abilities enabling independent work while contributing to team efforts.

• Analytical mindset with a keen attention to quality and detail.

• Excellent interpersonal skills, proficient written and oral English language skills, ability to manage competing deadlines, and capacity to work independently while collaborating with project teams.

• Legally authorized to work in the United States.

• Must have resided in the United States for at least 3 of the last 5 years.

• Must not require current or future sponsorship for employment visa status.

• Preferred: at least 1 year of SAS analytic programming experience.

• Preferred: understanding of relational database management concepts.

• Preferred: experience in the healthcare industry, CMS analytic experience, and/or familiarity with healthcare terminology and classification systems such as ICD-10, CPT, and HCPCS.

• Preferred: programming experience with CMS data systems like IDRC, CCW, or CDR.

• Preferred: understanding and use of issue tracking and code versioning tools such as Jira or Git.

🏝️ Benefits

• 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.