Value-based kidney care platform serving 50 US states with ML-driven patient management
Interwell Health operates a clinical platform for chronic kidney disease (CKD) management across all 50 states, partnering with over 2,000 nephrologists. The tech stack reveals a data-intensive operation—SQL, SAS, Tableau, Python, R, Databricks, dbt, and Apache Spark—centered on claims modeling, risk analytics, and patient cohort work. Hiring is accelerating in healthcare and data roles, with active projects spanning patient enrollment, care process improvement, and automated reporting, signaling operational scaling across both clinical delivery and analytics infrastructure.
Interwell Health is a value-based care provider specializing in chronic kidney disease management. The company serves patients at CKD stages 3 through kidney failure across all 50 US states and Puerto Rico, working directly with a network of over 2,000 nephrologists. The business model combines direct patient care coordination with provider enablement tools, underpinned by machine learning algorithms for personalized care planning. Operations span clinical program delivery, revenue cycle management (claims and medical expense modeling), and risk-based contracting with health plans. The company is headquartered in Boston and employs 501–1,000 people.
SQL, SAS, Tableau, Epic Systems, Python, R, Power BI, Databricks, dbt, Apache Spark, Azure, AWS, and GCP. The stack emphasizes data analytics and claims processing tools.
Core projects include CKD patient population organization, revenue and claims modeling, risk-based contract evaluation, patient education and modality selection, care process improvement, and automation of manual reporting.
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