DeepHealth

Artificial Intelligence

• Lead the enterprise AI Program Office within the Office of the CTO
• Orchestrate enterprise-wide AI adoption, governance, risk assurance, and cost management
• Architect, operationalize, and maintain the enterprise AI governance framework
• Author and maintain the AI Acceptable Use Policy, SOPs, data-handling guardrails, and role-based permissions
• Translate policy into automated technical guardrails using API gateways, connector permissions, endpoint access rules, and usage quotas
• Monitor AI governance frameworks and legal mandates and adapt internal compliance controls
• Own the registry of sanctioned AI models, platforms, and API connectors
• Manage intake and evaluation of new AI tools and capabilities
• Identify and mitigate unsanctioned shadow AI tools and integrations
• Run risk assessments for AI use cases, prompts/fine-tunes, and third-party integrations
• Maintain governance artifacts including impact assessments, model cards, audit logs, and exception approvals
• Partner with Information Security, Legal, Privacy, and Quality/Regulatory Affairs
• Validate control effectiveness, address audit findings, and support customer and regulatory inquiries
• Define AI usage thresholds, token quotas, and department-level spend caps
• Build enterprise AI visibility reporting for usage, token efficiency, licenses, and latency
• Operate cross-business-unit chargeback and showback mechanisms
• Lead enterprise AI adoption programs and prioritize high-ROI use cases
• Define KPIs and report program health to the CTO and executive leadership
• Manage strategic technology and AI vendor relationships, agreements, renewals, and performance reviews
• Negotiate BAAs, zero-data-retention terms, license tiers, and performance SLAs
• Drive AI fluency through role-based curricula, prompt-engineering playbooks, and office hours
• Advise department heads and product teams on practical, compliant AI implementations
• Promote responsible AI adoption with change management and communications teams
• Follow safety, privacy, compliance, confidentiality, and attendance standards

Associate Director, AI Program Office – AI Office Lead

• Lead the enterprise AI Program Office within the Office of the CTO
• Orchestrate enterprise-wide AI adoption, governance, risk assurance, and cost management
• Architect, operationalize, and maintain the enterprise AI governance framework
• Author and maintain the enterprise AI Acceptable Use Policy, SOPs, data-handling guardrails, and role-based permissions
• Translate policy into automated technical guardrails using API gateways, connector permissions, model endpoint access rules, and usage quotas
• Monitor AI frameworks and legal mandates and adapt internal compliance controls
• Own and curate the registry of sanctioned AI models, platforms, and API connectors
• Manage intake and evaluation of new AI tools and capabilities
• Identify, monitor, and mitigate unsanctioned shadow AI tools and integrations
• Run risk assessments for AI use cases, internal prompts/fine-tunes, and third-party AI integrations
• Maintain governance artifacts including algorithmic impact assessments, model cards, audit logs, and exception approvals
• Validate control effectiveness, address audit findings, and support customer and regulatory inquiries
• Define token allocation quotas, usage thresholds, and department-level spend caps
• Build AI visibility reporting for usage, token efficiency, license utilization, and latency metrics
• Design and operate cross-business-unit chargeback and showback mechanisms
• Lead enterprise AI adoption programs and prioritize use cases across clinical operations, corporate functions, and engineering
• Define KPIs, measure outcomes, and report program health to the CTO and executive leadership
• Manage strategic technology and AI vendor relationships, enterprise agreements, BAAs, data-retention terms, license tiers, and performance SLAs
• Manage contract renewals and vendor performance reviews
• Drive enterprise AI fluency through role-based curricula, prompt-engineering playbooks, and office hours
• Advise department heads and product teams on practical, compliant AI implementations
• Promote responsible AI adoption with change management and communications teams

Support Engineer

• Serve as the primary PACS technical support resource for customer healthcare IT projects
• Provide second-level support for PACS and healthcare IT systems
• Troubleshoot and resolve escalated technical issues
• Respond to customer inquiries via phone, email, and ticketing systems
• Coordinate projects and own tasks as the primary customer communication and issue-resolution contact
• Collaborate with IT, Product, Engineering, and Project Management teams
• Monitor and triage support queues and assign tickets to appropriate teams
• Maintain detailed incident, resolution, workflow, and system-change records
• Contribute to support-process improvement, knowledge-base documentation, and root-cause analysis
• Ensure compliance with healthcare regulatory standards and internal IT policies
• Maintain customer relationships through proactive communication, updates, and technical guidance
• Deliver product and service training to administrators, service-level users, and customers
• Perform DeepHealth PACS updates, upgrades, and maintenance
• Conduct pre-sales technical evaluations and provide level-of-effort assessments
• Integrate and support solutions within public cloud environments and DeepHealth platforms
• Design, implement, document, and support technical solutions
• Work cross-functionally to ensure customer satisfaction, issue resolution, and operational success
• Educate customers on system functionality and best practices
• Identify opportunities to improve customer experience and operational services
• Follow DeepHealth policies, procedures, data privacy, compliance, safety, and confidentiality standards
• Complete job responsibilities in a quality and timely manner

Technical Support Engineer – PACS

• Serve as the primary PACS technical support resource for customer healthcare IT projects
• Provide second-level support for PACS and healthcare IT systems
• Troubleshoot and resolve escalated technical issues
• Respond to customer inquiries via phone, email, and ticketing systems
• Coordinate projects and own tasks as the primary customer communication and issue-resolution contact
• Collaborate with IT, Product, Engineering, and Project Management teams to resolve complex issues
• Monitor and triage support queues and assign tickets to appropriate teams
• Maintain detailed incident, resolution, workflow, and system-change records
• Contribute to support-process improvements, knowledge-base documentation, and root-cause analysis
• Ensure compliance with healthcare regulatory standards and internal IT policies
• Maintain customer relationships through proactive communication, updates, and technical guidance
• Deliver product and service training to administrators, service-level users, and customers
• Perform DeepHealth PACS updates, upgrades, and maintenance
• Conduct pre-sales technical evaluations and provide level-of-effort assessments
• Integrate and support solutions in public cloud environments and DeepHealth platforms
• Design, implement, document, and support technical solutions
• Educate customers on system functionality and best practices
• Identify opportunities to improve customer experience and operational services

Research Scientist

• Define and drive the scientific roadmap for foundation models in medical imaging within the ML Capabilities programme
• Track and evaluate developments in machine learning and generative AI relevant to radiology and multimodal imaging
• Design and prototype novel model architectures for multimodal medical imaging data
• Develop experimental systems to validate research hypotheses and measure progress against scientific goals
• Establish and maintain benchmarking frameworks across downstream clinical and technical tasks
• Collaborate with engineering teams to translate research advances into deployable solutions
• Lead scientific publications and conference contributions communicating DeepHealth research results
• Engage with external research collaborators, including Imperial College London partners
• Mentor researchers and contribute to research quality standards
• Document methods, experiments, and findings to support reproducibility, review, and knowledge transfer

Senior Research Scientist

• Define and drive the scientific roadmap for foundation models in medical imaging within the ML Capabilities programme
• Track and evaluate machine learning and generative AI developments relevant to radiology and multimodal imaging
• Design and prototype novel model architectures for multimodal medical imaging data
• Develop experimental systems to validate research hypotheses and measure progress against scientific goals
• Establish and maintain benchmarking frameworks across downstream clinical and technical tasks
• Collaborate with engineering teams to translate research advances into deployable solutions
• Lead scientific publications and conference contributions communicating DeepHealth research results
• Engage with external research collaborators, including Imperial College London partners
• Mentor researchers and contribute to research quality standards
• Document methods, experiments, and findings for reproducibility, review, and knowledge transfer

Product Specialist

• Showcase and promote DeepHealth products and services through live demonstrations
• Create positive and engaging customer experiences that drive interest and sales
• Maintain expert-level knowledge of product capabilities, configurations, integrations, and upcoming functionality
• Develop reusable sales enablement materials, presentation scripts, workflow scenarios, FAQs, and supporting content
• Partner with Sales on customer meetings, demonstrations, presentations, workflow assessments, and solution discussions
• Communicate clinical workflows, technology capabilities, and solution value to clinical, technical, and executive stakeholders
• Translate complex clinical and technical concepts into customer-focused presentation solutions
• Contribute to RFP responses, site visits, and customer-specific demonstrations
• Configure, validate, and maintain demonstration environments, representative workflows, test data, and integrations
• Translate clinical requirements into feedback for product, engineering, and implementation teams
• Collaborate on troubleshooting workflow, integration, and usability issues
• Evaluate emerging AI, analytics, automation, and workflow optimization technologies
• Support product validation, implementations, training, and customer feedback initiatives
• Serve as a clinical resource for cross-sectional and mammography imaging workflows
• Evaluate end-to-end radiology workflows, including image acquisition, PACS/RIS, reporting, and results communication
• Collaborate with radiologists, technologists, clinical leaders, informatics, and IT teams to identify workflow challenges and improvements
• Assess how technology, automation, and AI can improve efficiency and the radiologist experience
• Build trusted partnerships across Clinical, Sales, Product, and Technology teams

• Showcase and promote DeepHealth products and services through live demonstrations
• Maintain expert-level knowledge of DeepHealth products, including capabilities, configurations, integrations, and upcoming functionality
• Develop reusable sales enablement materials, presentation scripts, workflow scenarios, FAQs, and supporting content
• Partner with Sales on customer meetings, demonstrations, presentations, workflow assessments, and solution discussions
• Communicate clinical workflows, technology capabilities, and solution value to clinical, technical, and executive stakeholders
• Translate complex clinical and technical concepts into customer-focused presentation solutions
• Contribute to RFP responses, site visits, and customer-specific demonstrations
• Configure, validate, and maintain demonstration environments, representative workflows, test data, and integrations
• Translate clinical requirements into feedback for product, engineering, and implementation teams
• Collaborate on troubleshooting workflow, integration, and usability issues
• Evaluate emerging AI, analytics, automation, and workflow optimization technologies
• Support product validation, implementations, training, and customer feedback initiatives
• Serve as a clinical resource for cross-sectional and mammography imaging workflows
• Evaluate end-to-end radiology workflows and identify improvement opportunities with clinical, informatics, and IT stakeholders
• Present and demonstrate solutions alongside the Sales team to improve radiology practice workflows

Product Manager

• Own product vision, strategy, business case, and roadmap for the Enterprise Imaging Diagnostic Suite portfolio
• Serve as primary business owner for assigned products, including investment priorities, feature prioritization, scope decisions, and release content
• Conduct market research and competitive analysis
• Engage customers, radiologists, imaging leaders, and clinical stakeholders to translate needs into product strategy and requirements
• Lead requirements definition, including business requirements, user stories, workflow specifications, and acceptance criteria
• Partner with engineering, architecture, UX, quality, and regulatory teams
• Prioritize development initiatives and backlog items based on customer value, strategic importance, business impact, technical feasibility, and regulatory considerations
• Manage products across the lifecycle from concept and commercialization through launch, adoption, enhancement, and retirement
• Define success metrics and monitor product performance
• Develop pricing, packaging, positioning, and value proposition recommendations with commercial leadership
• Partner with product marketing, sales, and customer success on go-to-market strategy, messaging, enablement, and strategic customer engagements
• Present product strategy, roadmap updates, and business cases to executive leadership, customers, partners, and industry audiences
• Drive cross-functional alignment across engineering, UX, marketing, sales, implementation, support, and customer success
• Escalate risks and decisions early
• Follow DeepHealth policies, procedures, laws, privacy, compliance, safety, and confidentiality standards

Product Manager – Enterprise Imaging

• Own product vision, strategy, business case, and roadmap for the Enterprise Imaging Diagnostic Suite portfolio
• Serve as primary business owner for assigned products, including investment priorities, feature prioritization, scope decisions, release content, and portfolio P&L outcomes
• Conduct market research and competitive analysis
• Engage customers, radiologists, imaging leaders, and clinical stakeholders to translate needs into product strategy and requirements
• Lead requirements definition, including business requirements, user stories, workflow specifications, and acceptance criteria
• Partner with engineering, architecture, UX, quality, and regulatory teams
• Prioritize development initiatives and backlog items based on customer value, strategic importance, business impact, technical feasibility, and regulatory considerations
• Manage products from concept and commercialization through launch, adoption, enhancement, and retirement
• Define success metrics and monitor product performance
• Develop pricing, packaging, positioning, and value proposition recommendations with commercial leadership
• Partner with product marketing, sales, and customer success on go-to-market strategy, messaging, enablement, and strategic customer engagements
• Present product strategy, roadmap updates, and business cases to executive leadership, customers, partners, and industry audiences
• Drive cross-functional alignment across engineering, UX, marketing, sales, implementation, support, and customer success
• Escalate risks and decisions early

Associate Director, AI Program Office – AI Office Lead

Associate Director, AI Program Office – AI Office Lead

Technical Support Engineer – PACS

Technical Support Engineer – PACS

Senior Research Scientist

Senior Research Scientist

Product Specialist

Product Specialist

Product Manager – Enterprise Imaging

Product Manager, Enterprise Imaging