Software Engineer

• Develop and execute the strategic vision for clinical AI initiatives, ensuring alignment with organizational goals and clinical objectives.
• Drive the overall AI strategy and roadmap for clinical applications.
• Oversee the planning, execution, and delivery of clinical AI projects, ensuring they are completed on time, within scope, and within budget.
• Establish best practices for project management across the clinical AI portfolio.
• Lead the design and development of software solutions that incorporate clinical AI capabilities, ensuring they are robust, scalable, and maintainable.
• Build, mentor, and lead a high-performing team of AI engineers and software developers focused on clinical applications, fostering a culture of innovation, collaboration, and continuous improvement.
• Collaborate with clinical leadership, healthcare professionals, and cross-functional teams to identify opportunities for AI integration in clinical workflows and gather requirements.
• Stay abreast of the latest advancements in clinical AI and machine learning technologies, evaluating their potential applications within the organization and integrating them into clinical software solutions.
• Establish metrics and KPIs to assess the effectiveness of clinical AI solutions, making data-driven decisions to optimize performance and drive continuous improvement in patient care.
• Ensure that all clinical AI initiatives adhere to ethical guidelines, regulatory requirements, and industry standards, promoting responsible AI usage within the clinical environment.

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