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Quadax is seeking a Data Scientist to help create the best Revenue Cycle Optimization solution in the industry by leveraging data analytics to optimize the revenue cycle product design and user experience of their Platform.

Requirements

• Proficiency in Python for statistical analysis, machine learning, and data wrangling; strong SQL skills for querying and transforming healthcare data.
• Experience working with BI/reporting environments and data warehouses (Snowflake, Power BI, Azure Synapse, etc.), including building reusable data pipelines and dashboards.
• Demonstrated ability to build, validate, and deploy predictive/statistical models (e.g., regression, classification, clustering, forecasting) to solve business problems in healthcare operations.
• Familiarity with agile methodologies, version control , and model lifecycle management.
• Skilled at translating business needs into analytical requirements, developing process flow diagrams, and documenting data mapping.
• Experience with healthcare revenue cycle management (RCM), payer/provider data, claims, remittance, denials, or related healthcare delivery organizations.
• 3-5 years of experience in Data Science or advanced analytics, with prior experience as a Data Science Analyst or equivalent.

Responsibilities

• Design, develop, validate, and deploy various model types that can be operationalized into Quadax products and client-facing solutions.
• Partner with Product Management and business stakeholders to identify high-value opportunities where data science, machine learning, and AI can improve healthcare revenue cycle outcomes (e.g., denials avoidance, payment optimization, eligibility prediction).
• Translate complex data analysis into clear, actionable insights and communicate results effectively to business leaders, product teams, and clients.
• Work with Development teams through SDLC to integrate models into production environments, ensuring scalability, reliability, and measurable business impact.
• Act as a thought leader and advocate for AI/ML adoption within Quadax—educating stakeholders on use cases, model performance, and industry best practices.
• Stay current on emerging AI/ML techniques, tools, and healthcare applications, bringing innovative ideas that align with Quadax’s mission and product strategy.
• Contribute to the development of reusable modeling frameworks, best practices, and documentation to accelerate future data science initiatives.

Other

• Local candidates preferred.
• If necessary, open to candidates ONLY in: OH, PA, MI, IN, KY, WV, WI, AL TN, GA, FL, TX, MO, SD, NC.
• Visa sponsorship not available.
• Ensure compliance with healthcare data privacy and security standards (HIPAA, HITRUST) in all modeling and data-handling activities.
• Strong understanding of how data science drives financial and operational outcomes in the healthcare revenue cycle. Ability to identify customer needs, evaluate available solutions, and propose data-driven approaches.