Job Opportunities

This position involves collaborating with cross-functional teams to translate requirements into intuitive, efficient, and secure interfaces. Responsibilities include developing responsive web and mobile interfaces, integrating with backend services, ensuring compliance with medical regulations, and optimizing frontend performance. Key skills include proficiency in frontend technologies, familiarity with medical imaging formats and tools (such as DICOM, CornerstoneJS, and ITK), experience with PACS integration, and knowledge of healthcare regulations.

Work with the team to design and implement tools and APIs for a centralized system with distributed agents/workers

Build supplementary software components that enables data scientists to interact with the platform

Solid experience in Restful API design and development

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Support integration with existing ML/DL/FL libraries

Develop highly scalable machine learning (computer vision) models to solve problems such as medical image classification and segmentation

Develop in-house machine learning tools and pipelines to support fast experimentation of machine learning models

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The primary focus is on developing user interface components and implementing them following well-known React.js workflows (such as Flux or Redux). They work with ML teams, data analytics platforms, visualization & metrics tools (e.g. Grafana, Prometheus) and dashboards. They ensure that these components and the overall application are robust and easy to maintain.