Senior Health Economics Analyst (Python Expertise)
About The Position
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 teams. In this role, you'll 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.
Requirements
- Bachelor's 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.
Nice To Haves
- Use of ChatGPT 5 and Claude a plus
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
