Mount Sinai Health System - New York, NY
posted 3 months ago
The position involves designing, developing, and implementing sophisticated machine learning (ML) systems specifically tailored for the hospital environment. The successful candidate will collaborate closely with cross-functional teams, including data scientists, product managers, and developers, to drive innovation and ensure the effective implementation of ML solutions. A key aspect of the role is to monitor and update the performance and reliability of deployed ML models, ensuring they meet the hospital's operational needs. In addition to technical responsibilities, the role includes guiding junior engineers by establishing and enforcing best practices for coding, conducting code reviews, and maintaining thorough documentation. The candidate will be expected to stay informed about the latest trends and advancements in software engineering and machine learning, engaging in research, testing, and the implementation of new ML methods and techniques. Engagement with stakeholders is crucial, as the candidate will provide project status updates, build interdepartmental relationships, and facilitate knowledge exchange. The role also requires the creation and maintenance of project work plans, technical documentation, corporate standards, and process status reports. Mentoring other analysts on selecting appropriate statistical analysis methods, programming languages, and tools, as well as on generating, interpreting, and visualizing statistical analysis outputs, is an essential part of the job. Furthermore, the candidate will work with the IT department to continuously improve Mt. Sinai's integrated data warehouse, ensuring it meets strategic and business needs while designing and maintaining data and reporting consistency throughout the organization.