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The Data Scientist will solve healthcare data-driven problems using machine learning and predictive modeling methods, collaborating with the Data Science team and Product Management to maximize the utility of predictive modeling in healthcare operations.
The Specialist Application Engineer is responsible for designing and developing scalable systems, optimizing performance, collaborating with cross-functional teams, and ensuring reliability in software solutions. This role entails modernizing legacy systems, developing efficient database schemas, and implementing clean architecture while staying updated with industry trends.
The Application Engineer will design, build, and implement web applications and back-end services, leveraging cloud technologies, particularly on Google Cloud Platform. Responsibilities include coding, testing, deploying solutions, and collaborating with management and team members. The role also involves participating in QA processes and maintaining CI/CD pipelines while focusing on enhancing user functionality and addressing business requirements.
Manage the technical delivery of BI applications, lead a team of data analysts, engineers, and architects, prioritize customer needs, drive innovation and experimentation, mentor team members, oversee BI application development lifecycle, establish data governance policies, collaborate cross-functionally, and possess 5-10 years of analytics engineering experience and 3-5 years of engineering leadership experience.
As an Application Engineer, you'll develop and improve full-stack applications for health systems and patients. Your role includes designing, coding, testing, and implementing features while adhering to coding standards and maintaining communication with management and team members. You'll handle technical specifications, assist QA, manage development progress, and propose enhancements to the existing applications.
Design, implement, and maintain cloud infrastructure using AWS, Azure, or Google Cloud. Develop automation scripts and infrastructure as code. Monitor and optimize cloud resources for performance and cost. Ensure cloud security and compliance. Provide troubleshooting support and collaborate with cross-functional teams.
The Senior Lead DevOps Engineer will be responsible for managing and advancing DevOps practices, optimizing CI/CD pipelines, automating infrastructure, and ensuring robust automation solutions. This role requires technical expertise, leadership capabilities, and driving strategic initiatives.
Seeking a Senior Product Manager with experience in business intelligence, analytics, and healthcare revenue cycle management. Responsibilities include designing and building industry-leading dashboards, analyzing customer requirements, conducting market research, gathering customer feedback, and collaborating with cross-functional teams to drive product vision.
The Manager, Application Engineering is responsible for managing a team of Application Engineers and QA resources to build award-winning products. They oversee a full stack application engineering team working closely with the Waystar Product team to solve unique challenges. Responsibilities include managing day-to-day activities, conducting People Operations responsibilities, scheduling projects and resources, coaching team members, and establishing processes and procedures. Required skills include PHP, SQL, AWS, Git, Agile methodologies, and leadership experience.
Solve problems in the Patient Payments organization at Waystar by proposing technical solutions, designing and developing features, adhering to coding standards, and assisting in the QA process. Maintain open communication with management and team members to improve applications and identify areas for enhancement.
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