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The Senior Data Researcher will collaborate with product and engineering teams to analyze data, identify opportunities, build dashboards, and support strategic initiatives through insights and recommendations.

Manage the product lifecycle from discovery to launch, translating business goals into requirements, collaborating with teams, and monitoring performance metrics.

Lead the Navina Analytics Squad to enhance healthcare by analyzing treatment effectiveness and optimizing workflows for medical teams using an AI-powered product.

Lead and manage the Implementation Engineers team, overseeing technical onboarding and driving improvements in implementation quality and efficiency.

As a Full Stack Engineer at Navina, you will lead development from ideation to production, collaborate across teams, and build customer-centric healthcare solutions.

ML Engineers at Navina will develop machine learning engineering lifecycle solutions, enhance deep learning infrastructure, and collaborate with cross-functional teams to implement ML solutions.

As a Technical Support Engineer, you will resolve customer issues, manage support processes, and collaborate with various teams to enhance product satisfaction.

Lead the architectural vision of a healthcare SaaS platform, focusing on scalable, secure solutions and the integration of AI technologies. Collaborate with cross-functional teams and enforce technical governance.

As an IT Engineer, you will manage IT support, infrastructure, and security, oversee IT assets, and automate processes to improve efficiency.

The Data Product Manager will oversee Navina's data platform by aligning business needs with data solutions, defining data processing flows, and collaborating with teams for successful delivery.