Software Engineer - API Development

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Title: Software Engineer Duration: Until 12/31/2025 Client: Mayo Clinic Req ID: 36014839 Remote

Requirements:

• 5+ years experience building distributed software systems with n-tier architectures.
• Should have an expert level of experience in one of the following and be proficient in all: API development with Python, Node, Java, or .Net.
• Frontend development with ReactJS, JavaScript, HTML/CSS.
• Operations integration with reporting and performance tools.
• Experience with cloud-based deployment environments.

Scope: Vision for Care Team Navigator Care Team Navigator is an omnipresent virtual member of the care team, delivering predictive and proactive care support, providing administrative support and enabling seamless, virtual care team collaboration.

Strategy We will achieve this through device-agnostic, responsive care team experiences that reduce cognitive burden throughout the continuum of care and administration.

AI modeling and machine learning technologies will leverage Mayo Clinic s best-in-class healthcare data and we will enable a next-generation care delivery experience that codifies and scales Mayo Clinic knowledge to deliver aggregated views for advanced clinical decision support and interdisciplinary collaboration for patient care.

Key Objectives

• Develop an intelligence-driven system that intuitively connects multiple capabilities enabled and executed by Care Team Navigator.
• Deliver a technology suite that is an intuitive, adaptive learning system that improves the Care Team s experience automatically over time to provide better healthcare and augmented clinical decision support.
• Enable the future of healthcare through a set of capabilities that seamlessly connects patients and providers with the right information at the right time through a dynamic set of experiences.
• Long-term Milestones Build the next generation knowledge platform in support of clinical decision making and content generation.
• Find and summarize relevant EHR data for patient consultations to reduce cognitive burden and preparation time.
• Develop a machine learning model to provide experts for specialty consults, expanding to other areas of care and administration over time.
• Enable rapid development and deployment of API-first capabilities through an ecosystem that empowers product teams to re-use, combine, and enhance capabilities as needed to meet experience needs.