Senior Health Economics Analyst (Python Expertise)

Overview
Curative is an innovative fast-growing organization led by industry veterans and elite talent committed to revolutionizing employer-sponsored commercial healthcare through affordability engagement and a groundbreaking $0 copay/$0 deductible model. Our Medical Economics team is focused on leveraging healthcare transparency data (e.g. Turquoise Clarify payer and provider machine readable files) for competitive rate intelligence to support our negotiators as they seek direct contract agreements with healthcare providers and facilities. We are seeking to add a professional with direct

Python experience to help gather process manage and analyze complex healthcare transparency data and be a technical/analytical resource for the broader Provider Relations and Claims this role youll report to the Director of Medical Economics and partner with our skilled negotiators technology professionals and data analytics teams to help deliver essential data-driven insights that empower optimal provider contract negotiations. The ideal candidate will have at least 2 years of professional experience in Python development and at least a year with healthcare data. This position demands heavy Python skills and experience including proficiency in data manipulation (e.g. Pandas NumPy) scripting for automation and analysis and integrating with databases or APIs.

Key Responsibilities

• Ability to take MRFs and develop into usable formats and data points of key areas of rates for negotiators to understand market rates for specific providers and within a geography
• Able to sort and manipulate data to break down provider issues and claims files into usable and actionable information
• Develop and maintain Python-based applications and scripts to process analyze and visualize healthcare transparency data.
• Utilize Pandas for data manipulation cleaning and transformation to support healthcare analytics and reporting.
• Collaborate with cross-functional teams to design and implement data pipelines for healthcare datasets ensuring compliance with data privacy regulations (e.g. HIPAA).
• Use GitHub for version control code collaboration and documentation of projects.
• Write clean efficient and well-documented code to ensure scalability and maintainability.
• Perform data validation and quality checks to ensure accuracy and reliability of healthcare data.
• Troubleshoot and debug issues in existing systems optimizing performance as needed.
• Stay updated on industry trends and best practices in Python development and healthcare data management.
• Perform other duties as assigned

Required Qualifications

• Bachelors degree in computer / data science Math Economics or a related field (or equivalent experience).
• Proficiency in Python programming including libraries like Pandas NumPy SciPy or Matplotlib for data analysis and manipulation (prefer 2 years professional experience). Use of ChatGPT 5 and Claude a plus
• Minimum of 1 year of experience working with healthcare data (e.g. EHR claims data or clinical datasets).
• Hands-on experience with GitHub for version control code reviews and collaborative development.
• Experience with SQL (Snowflake used here) for querying and managing healthcare databases.
• Enjoys helping other team members be more efficient and have better data to do their jobs.
• Familiarity with cloud platforms (e.g. AWS Azure or Google Cloud) for data processing.
• Proficiency with Microsoft business applications (heavy Excel currently used by team)
• Strong problem-solving skills and attention to detail.
• Ability to work independently and in a team-oriented and work-from-home environment.

Note: Candidates may be required to complete a coding assessment or provide examples of prior work with Python and Pandas.

Pay: Up to $125K -185k depending on experience
Location: Remote with light travel (2-4 times per year) or onsite in Austin TX