Program Manager

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8 hours ago

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Logo of DeepHealth

DeepHealth

Artificial Intelligence • Healthcare Insurance • SaaS

DeepHealth is a global leader in AI-powered health informatics, providing innovative solutions designed to enhance operational efficiency and clinical confidence in radiology. As a wholly-owned subsidiary of RadNet, Inc. , DeepHealth offers a comprehensive suite of diagnostic and imaging tools, including the DeepHealth OS, a pioneering cloud-native operating system. Their AI-powered solutions support large-scale diagnostic programs and streamline workflows in areas such as breast, prostate, lung, and brain cancer detection. DeepHealth collaborates with leading healthcare institutions worldwide to transform radiology practices and improve care delivery.

11 - 50 employees

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

☁️ SaaS

💰 $225k Grant on 2019-08

📋 Description

• Lead and manage high-impact programs across product development, regulatory submissions, clinical validation, and commercial deployment. • Define program scope, goals, deliverables, and success metrics in collaboration with stakeholders. • Develop and maintain detailed project plans, including timelines, milestones, risk assessments, and resource allocation. • Coordinate cross-functional teams including engineering, data science, clinical, regulatory, and commercial to ensure alignment and on-time delivery. • Facilitate regular program reviews, stand-ups, and executive updates to communicate progress, risks, and mitigation strategies. • Identify and resolve cross-functional dependencies, constraints, and blockers. • Drive continuous improvement of program management processes and tools. • Serve as a strategic advisor and thought partner to senior leadership on program planning and prioritization.

🎯 Requirements

• 7+ years of experience in program or project management, with at least 3 years in a senior or lead role. • Proven track record of managing complex programs in healthcare, medical devices, or health tech (preferably involving AI or software as a medical device). • Strong understanding of product development lifecycle, regulatory pathways (e.g., FDA 510(k)), and clinical workflows. • Exceptional organizational, communication, and stakeholder management skills. • Ability to operate autonomously, manage multiple priorities, and influence cross-functional teams. • Proficiency with project management tools (e.g., Jira, Asana, Confluence, Smartsheet, or equivalent). • Experience with AI/ML products or medical imaging systems (e.g., PACS, DICOM). • Familiarity with healthcare quality standards. • PMP, PgMP, or similar project management certification. • Advanced degree (MBA, MPH, MS in Engineering or related fields).

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