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The Data Privacy Compliance Specialist supports DeepHealth's global data privacy programs, including HIPAA and GDPR. Reporting to the Data Privacy Compliance Lead, this role collaborates across the organization to help ensure personal data is collected, processed, and stored in line with applicable privacy laws and DeepHealth requirements. Essential Duties and Responsibilities • Support organizational data privacy efforts and help ensure compliance with applicable local, national, and global privacy laws and regulations. • Assist with the Privacy by Design program supporting product development and modification, including software and AI use cases. • Collaborate with Vendor Management on vendor qualification and on implementation of Data Processing Agreements and Transfer Impact Assessments as applicable. • Research and review country-specific data privacy frameworks and regulations to support continued compliance and business opportunities. • Collaborate cross-functionally to implement technical and organizational measures that support data privacy. • Monitor how personal data is collected, processed, and stored for compliance with applicable laws. • Participate in investigations and impact assessments related to information security events with privacy implications. • Serve as a backup point of contact for data protection authorities and data subjects, handling inquiries and requests. • Collaborate cross-functionally to improve data privacy processes in support of risk management frameworks such as GDPR and HIPAA. • Maintain clear documentation of privacy activities and support audit and regulatory readiness as assigned.

The Security Operations Engineer builds and operates security controls, tooling, and automation across DeepHealth's cloud and corporate environments. This role is responsible for configuring, integrating, and maintaining the enterprise security tooling stack, developing detection content, and automating security operations tasks so that controls are repeatable, version-controlled, and auditable. Working within DeepHealth's established security frameworks and under the direction of the Director, Security Operations, this position operates and tunes security controls, detection content, and guardrails. Independent validation of those controls sits with the security operations watch function — a deliberate separation that keeps the control environment defensible under audit. Remediation follows system ownership across Cloud Operations, Platform, and Application Development; this role supplies technical guidance and implements fixes directly where the control is security-owned. This position operates within a regulated healthcare environment across a global operating footprint, with obligations under HIPAA, ISO/IEC 27001, and SOC 2. The role reports to the Director, Security Operations, with future reporting to the Manager, Security Operations as that position is established.

Job Summary The Director of AI Governance sits within Quality, Regulatory, and Compliance and is responsible for designing, developing, and managing DeepHealth's AI Governance program and strategies. The role promotes safe, legal, and ethical use of AI across the organization in partnership with Information Security, Data Privacy, Vendor Management, Ethics, Legal, and IT. Essential Duties and Responsibilities • Develop and implement AI Governance strategies aligned with organizational goals and ethical standards. • Design, implement, and maintain an AI Governance framework aligned with applicable standards and regulations, including NIST AI RMF, ISO 42001, and the EU AI Act. • Develop and maintain policies, guidelines, and documentation for responsible development and deployment of AI tools. • Integrate AI governance into existing compliance and risk management processes with cross-functional partners. • Provide expert advice to internal teams and, as needed, to clients on AI governance and compliance matters. • Evaluate vendor compliance with legal, ethical, and security standards related to AI tools and features. • Oversee AI risk assessments and maintain AI inventories and catalogues consistent with legal and regulatory requirements. • Review contracts and draft language related to AI and new technologies in partnership with Legal. • Design and deliver training to build awareness of AI governance principles. • Partner on audits of compliance with the AI framework and applicable legislation, and mentor team members as the function grows. PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time.

The Director of Data Governance sits within Quality, Regulatory, and Compliance and leads the evolution of DeepHealth's data ecosystem into a unified, high-quality enterprise asset. The role owns strategic design, implementation, and continuous improvement of the Data Governance Framework so data is accurate, secure, and ready for advanced analytics and AI initiatives. Essential Duties and Responsibilities · Define and execute a Data Governance roadmap aligned with the Enterprise Information and Governance vision. · Review, maintain, and enforce the Data Management Policy and Data Governance Charter against current regulatory and business needs. · Facilitate decision-making on data standards and help resolve cross-functional data conflicts. · Implement Data Quality Management procedures and establish KPIs for data accuracy, completeness, and consistency. · Define enterprise-wide data standards, including metadata management, data lineage, and master data management protocols. · Partner with IT and Security so data pipelines support AI applications while maintaining security boundaries. · Work with Security to define data classification levels and manage high-risk data access policies. · Ensure data practices adhere to applicable global privacy regulations and internal Enterprise Information and Governance mandates. · Align data governance priorities with organizational objectives and regulatory requirements. · Mentor and develop team members as the data governance capability grows.

The Information Security Specialist is a strategic role within DeepHealth’s Quality, Regulatory, and Compliance department, responsible for assisting in the development, implementation, and maintenance of comprehensive information security compliance strategies. This position is critical in protecting organizational data, ensuring regulatory adherence, and mitigating potential security risks in the complex digital health landscape.

Company Overview DeepHealth, a RadNet company, is focused on delivering AI-powered solutions that improve population health, optimize radiology workflows, and drive earlier detection of disease. Our portfolio spans breast, lung, brain, prostate, and thyroid imaging AI, deployed across enterprise imaging platforms and large screening programs. Job Summary The Technical Services Engineer is the first point of contact for users, providing expert support, troubleshooting issues, and contributing to a seamless healthcare IT experience. This role works closely with cross-functional teams to resolve incidents, maintain high service quality, and continuously improve support processes. Essential Duties and Responsibilities: • Provide first- and second-level support for healthcare IT systems, including troubleshooting and resolving technical issues. • Respond to user inquiries via phone, email, and ticketing systems in a timely and professional manner. • Participate in a rotating schedule to monitor the support queue, triage incoming tickets, and assign them to the appropriate product or functional team. • Collaborate with IT, Product, and Engineering teams to escalate and resolve complex issues. • Maintain detailed records of incidents, solutions, and workflows in the ticketing system. • Assist with system updates, installations, and user onboarding for new software and hardware. • Contribute to the continuous improvement of support processes and knowledge base. • Ensure compliance with regulatory standards and internal IT policies. • Support key customers and maintain positive relationships, providing updates and guidance as needed. PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time.

Job Summary In the Clinical AI Devices team, the Software Engineer is primarily responsible for building and maintaining software in the Clinical AI domain, from wrapping deep learning models into containerized medical devices, to integration with other systems. This work spans all of the company's medical devices, across the main radiology modalities: X-Ray, CT, MRI, and Mammography. The focus of the current role is at the interface between product logic and the underlying serving platform, ensuring that requests are correctly validated, routed, and that results are properly assembled and returned. Essential Duties and Responsibilities • Participate in the software development process: design, refine, and develop new features, and maintain existing ones. • Write code, review teammates' code, and contribute to the testing framework through automated and manual tests. Work with the team lead and product manager to refine requirements. • Own features and projects end-to-end, from refinement to production. Flag risks and bugs by keeping the radiologist's workflow in mind. Support service and delivery teams with production issues. • Ensure compliance with Quality and Regulatory requirements throughout the development cycle, including technical documentation (e.g. implementation specs), cybersecurity processes, and risk analysis. • Collaborate with the team on strategic recommendations and improvements to technology and business. PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned, and management retains the right to add or change duties at any time.

Job Summary The Technical Project Coordinator is responsible for coordinating and tracking healthcare IT and clinical AI project delivery from kickoff through go-live. This role maintains project plans and milestones, facilitates cross-functional communication across Software Engineering, Product Management, Clinical Specialists, and Client Operations, manages project documentation and action items, and supports readiness activities so projects meet schedule, quality, and operational requirements. Essential Duties and Responsibilities • Maintain and update project plans, timelines, and resource trackers for assigned healthcare IT and clinical AI projects. • Monitor progress against milestones, identify potential delays or bottlenecks, and escalate risks and issues to project leadership. • Coordinate cross-functional go-live readiness activities, including pre-launch requirements, testing checkpoints, and operational readiness criteria. • Draft and distribute clear project status updates and go-live communications to internal teams and external stakeholders. • Serve as a central point of contact for project queries and information flow among engineering, clinical, product, and client-facing teams. • Schedule project meetings, prepare agendas and pre-read materials, capture decisions and action items, and follow up with owners through completion. • Organize and maintain project repositories, templates, agreements, manuals, and reports with current, accessible version control. • Support dependency tracking across workstreams and help keep delivery aligned to agreed scope and timelines. • Apply established PMO processes and tools (for example, Jira, Confluence, or equivalent) to keep status accurate and visible. • Contribute to continuous improvement of project tracking, documentation, and communication practices. •