Oasis Health Partners
Jobs at Oasis Health Partners
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Recently posted jobs
Healthtech
Leads the hands-on development and scaling of Oasis’s healthcare software platform. Responsibilities include architecture, production coding, AWS infrastructure, DevSecOps, AI-native workflows, external system integrations, reliability, observability, compliance, roadmap execution, and recruiting a high-performing engineering team. The role begins primarily as an individual contributor and evolves into player-coach leadership while delivering patient- and provider-facing applications.
Healthtech
Lead the data science function, owning machine learning strategy, predictive models, healthcare analytics, DBT data marts, and executive dashboards. Analyze claims, eligibility, pharmacy, EMR, HIE, clinical, and operational data to identify high-risk patients, evaluate clinical interventions, and improve patient and provider engagement using AI and LLMs. Collaborate with clinical, operations, and technology teams while leading data science staff in a fast-growing healthcare organization.
Healthtech
Grow Oasis Health Partners’ Louisiana network by recruiting independent primary care physicians and IPAs into Medicare value-based care programs. Build and manage a qualified sales pipeline, lead consultative discussions with physician owners, position practice-support solutions, and support successful onboarding. Develop market-specific growth strategies, maintain provider relationships, represent Oasis at industry events, and provide feedback to improve offerings and messaging. The role requires close collaboration with clinical, operations, provider success, contracting, and marketing teams.
Healthtech
Leads clinical strategy and program operations for Medicare value-based care. Designs, launches, scales, and improves programs serving complex populations across primary care practices, virtual support, and vendor partnerships. Partners with Finance, Analytics, Product, Data, Engineering, and frontline teams to define priorities, operating models, technology requirements, KPIs, and performance improvements. Guides AI- and data-enabled care solutions while leading multidisciplinary clinical program teams.
