
11 - 50 employees
🏥 Healthcare
🛡️ Insurance
🌍 Social Impact
💰 $3.4M Seed Round on 2023-06
Healthcare • Insurance • Social Impact
Karoo Health is dedicated to improving the lives of cardiac patients in America. The company aims to transform the existing care model, enhancing patient outcomes while significantly reducing costs. Karoo employs a value-based approach that integrates traditional, guideline-based care along with advanced digital tools to deliver on its mission.
🔥 1 minute ago
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11 - 50 employees
🏥 Healthcare
🛡️ Insurance
🌍 Social Impact
💰 $3.4M Seed Round on 2023-06
Healthcare • Insurance • Social Impact
Karoo Health is dedicated to improving the lives of cardiac patients in America. The company aims to transform the existing care model, enhancing patient outcomes while significantly reducing costs. Karoo employs a value-based approach that integrates traditional, guideline-based care along with advanced digital tools to deliver on its mission.
• Develop and deploy machine learning models to identify high-risk, high-cost members before expensive acute services • Research claims and EHR data to identify opportunities for clinical interventions that reduce adverse-event risk • Analyze total cost of care, utilization, and patient attribution against baseline value-based care contracts • Implement validation techniques for model accuracy, fairness, and consistency on noisy clinical and claims data • Collaborate with Engineering and Analytics teams to surface modeling insights in applications and BI reports • Ensure compliance with healthcare data regulations, including HIPAA and HITRUST, and implement data-security best practices • Work with Data Engineering, Product, and Clinical teams to build the Karoo platform’s analytics and predictive capabilities • Translate complex model outputs and technical findings into clear narratives for clinical, business, and executive stakeholders
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related quantitative field • Minimum 5 years of professional experience in an advanced analysis or Data Science role • Experience with payer claims files and other healthcare data formats, including FHIR and HL7 • Expert-level Python/R and SQL skills • Proven track record of building and deploying production-grade machine-learning models, including regression, classification, clustering, or neural networks • Familiarity with HIPAA and HITRUST compliance requirements for sensitive patient data • Exceptional ability to translate complex technical findings into clear narratives for executive and clinical audiences • Must be legally authorized to work in the United States • Must not require employer sponsorship now or in the future
• Competitive salary and equity in an early-stage startup • Opportunity to define the technical solution from the ground up • Fully remote work environment with flexible hours • Collaborative and transparent company culture that values creativity and ownership
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