Division/Department: IT |
Location: Middleburg Heights OH |
Summary: Quadax an award-winning leader in healthcare revenue cycle technology is seeking a Data Scientist to join our Team and help us create the best Revenue Cycle Optimization solution in the industry. Youll use your knowledge of healthcare revenue cycle business objectives to identify necessary data (SQL Excel Snowflake) apply appropriate analytics (BI tools Azure Foundry) and derive strategic insights to achieve the desired business benefits. Youll work closely with product managers other data scientists engineers and business analysts to ensure clear definition of all requirements and translating them into value. Youll leverage data insights to optimize the revenue cycle product design and user experience of our Platform. We use PowerBI for visualization Snowflake for data management & sharing and Azure Foundry for all modeling. 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. |
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 Quadaxeducating 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 Quadaxs mission and product strategy. Contribute to the development of reusable modeling frameworks best practices and documentation to accelerate future data science initiatives. Ensure compliance with healthcare data privacy and security standards (HIPAA HITRUST) in all modeling and data-handling activities. |
Qualifications: Healthcare domain expertise: Experience with healthcare revenue cycle management (RCM) payer/provider data claims remittance denials or related healthcare delivery organizations. Professional experience: 35 years of experience in Data Science or advanced analytics with prior experience as a Data Science Analyst or equivalent. Programming & tools: Proficiency in Python for statistical analysis machine learning and data wrangling; strong SQL skills for querying and transforming healthcare data. Data platforms & BI: Experience working with BI/reporting environments and data warehouses (Snowflake Power BI Azure Synapse etc.) including building reusable data pipelines and dashboards. Modeling & analytics: Demonstrated ability to build validate and deploy predictive/statistical models (e.g. regression classification clustering forecasting) to solve business problems in healthcare operations. SDLC: Familiarity with agile methodologies version control and model lifecycle management. Process & requirements: Skilled at translating business needs into analytical requirements developing process flow diagrams and documenting data mapping. Business acumen: 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. Communication & storytelling: Strong written and verbal communication skills with the ability to explain statistical results financial impacts and modeling assumptions to both technical and non-technical stakeholders. Collaboration: Experience working cross-functionally with Data Science Analysts Engineers and Product Managers to deliver scalable solutions. |
Award-Winning Healthcare Revenue Cycle Management Software. Improve operational efficiency, boost profitability and enhance patient experience.