
2 - 10 employees
Founded 2023
🏥 Healthcare
💰 Seed Round on 2023-01
Healthcare
Oasis Health Partners is a Miami-based, Medicare-certified home health agency that provides personalized, in-home clinical care and support. The organization delivers skilled nursing, infusion services, home health aide support, and a range of rehabilitation therapies (occupational, physical, speech, respiratory), plus nutrition, cancer/supportive care, and social services across Miami-Dade and Monroe counties. Oasis coordinates care with physicians (accepting fax and Rightfax), performs evaluations within 24–48 hours of referral or hospital discharge, and emphasizes care coordination to reduce administrative burden on providers.
🔥 0 minutes ago
Where this job comes from
Posted on Oasis Health Partners's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

2 - 10 employees
Founded 2023
🏥 Healthcare
💰 Seed Round on 2023-01
Healthcare
Oasis Health Partners is a Miami-based, Medicare-certified home health agency that provides personalized, in-home clinical care and support. The organization delivers skilled nursing, infusion services, home health aide support, and a range of rehabilitation therapies (occupational, physical, speech, respiratory), plus nutrition, cancer/supportive care, and social services across Miami-Dade and Monroe counties. Oasis coordinates care with physicians (accepting fax and Rightfax), performs evaluations within 24–48 hours of referral or hospital discharge, and emphasizes care coordination to reduce administrative burden on providers.
• Build a world-class data science function • Develop, deploy, and maintain data marts and machine learning models • Assess the impact of clinical interventions • Lead the data and analytics function • Own predictive modeling capabilities end to end • Apply machine learning statistics and ML Ops practices to productionalize and scale model creation and maintenance • Provide analytical support for an Oasis workstream/domain • Collaborate with Executive leaders, Operations, Clinical, Product, Finance, and the technology team • Build sophisticated analytical data models • Own machine learning strategy and execution • Implement clinical interventions with technology, clinical, and operations teams • Set up analytics data models in DBT • Identify data sources for patient identification and risk stratification • Build predictive models to identify high-risk patients • Use AI/LLMs to advance patient and provider engagement • Analyze clinical data from payors and providers • Analyze clinical program performance • Analyze workflow and operational data • Develop the analytics layer for executive and operational dashboards
• Minimum 8 years of experience in healthcare analytics with hands-on expertise in real-world data • Minimum 3 years of experience leading data science teams in healthcare • Advanced SQL skills for complex data analysis and reporting • Advanced Python skills for building and productionalizing machine learning models • Experience developing impactful BI reports and dashboards for end-users • Ability to adapt to new technologies • Comfortable working in the ambiguity and rapid change of a startup environment • Excellent communication skills for collaboration with technical and non-technical teams, including operational and clinical teams • Ability to manage and prioritize multiple tasks and projects effectively • Must be authorized to work in the United States without current or future visa sponsorship • Must currently reside in the United States • Preferred: Previous experience at a health plan or Managed Service Organization • Preferred: Familiarity with Medicare Advantage populations and their unique healthcare needs • Preferred: Background in value-based care organizations • Preferred: Experience with AWS, DBT, and Snowflake
• Medical insurance • Dental insurance • Vision insurance • 401(k) • Generous time off plans • Professional development program beginning with onboarding and continuing throughout the career • Inclusive, diverse, and collaborative team environment
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