Quadax is seeking a Data Scientist to help create the best Revenue Cycle Optimization solution in the industry by leveraging data science, machine learning, and AI to improve healthcare revenue cycle outcomes.
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.
- Experience with BI tools, Azure Foundry for all modeling.
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.
- 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.
