Specifications include, but are not limited to: Application Development • Design and implement robust, scalable, and secure cloud-based solutions for healthcare applications. • Develop end-to-end web and mobile application solutions with an emphasis on communication technologies. • Design and refine prompts for language models in healthcare application. • Develop and implement machine vision algorithms and systems within the healthcare sector. • Develop and enhance functionality in the Epic MyChart application. • Develop and customize the Epic Hyperspace interface. • Design, develop, and implement RPA solutions to automate repetitive tasks and processes within the organization. • Develop and customize solutions within the Microsoft Dynamics platform to meet the organization's needs. Data Science • Generate actionable insights from complex healthcare data. • Harness the power of large language models (LLM) to transform raw text into meaningful insights. • Create and manage synthetic data environments or "sandboxes" specifically tailored for healthcare applications. • Oversee the integration of nursing with information management and computer processes. • Optimize the use of clinical information systems across the healthcare organization. • Analyze and report on care quality data to support quality improvement initiatives. • Design, develop, and implement clinical decision support (CDS) tools that help clinicians make informed decisions about patient care. Artificial Intelligence, Machine Learning, and Automation • Design, implement, and deploy robust and scalable AI solutions on cloud platforms like AWS and Azure • Develop and implement machine learning models that address key challenges in healthcare. • Analyze and interpret complex healthcare datasets using ML and AI techniques. • Design and oversee the implementation of ML and AI solutions in a healthcare context. • Work with healthcare and technical teams to ensure that ML and AI solutions are correctly integrated with existing systems and workflows. • Ensure that AI and ML solutions are designed and implemented in a manner that respects patient rights, data privacy, and fairness and perform as expected in a healthcare setting. • Teach clinicians and other healthcare professionals about the use of ML and AI in their work. Product/Project Management, Leadership, and Strategy Development and Deployment • Work closely with senior leadership to develop, communicate, and implement a robust digital health strategy overseeing the strategy, development, and successful execution of digital health products. • Oversee the successful planning, execution, and completion of IT projects within the healthcare domain. • Facilitate the Scrum framework within the development team. • Lead a development team using Agile methodologies. • Lead the implementation of Customer Relationship Management (CRM) systems within the organization. • Plan and implement change management strategies to support the successful adoption of new processes, technologies, and initiatives within the organization.
