Jobs at DeepHealth

Owns the Acute Care CT Suite roadmap and product strategy from clinical discovery through customer activation. Translates radiology and emergency-care needs into ML and software requirements, defines clinically meaningful metrics, coordinates cross-functional delivery across data, ML, engineering, QA/RA, and support, and manages regulatory impacts. The role leads product squads, competitive positioning, scope and timeline decisions, and collaboration with clinical, sales, and marketing stakeholders. Domestic and international travel of up to 10% is required.

Provides dedicated technical support for strategic healthcare IT accounts. Troubleshoots PACS, RIS, DICOM, HL7, EMR, databases, networks, operating systems, cloud integrations, and infrastructure issues. Manages incidents, escalations, SLAs, documentation, monitoring, maintenance, customer communication, training, and technical projects. Collaborates with engineering and internal teams, participates in on-call rotations and incident response, and supports implementations, upgrades, integrations, and go-live activities.

Provides dedicated technical support for strategic healthcare accounts, troubleshooting PACS, RIS, DICOM, HL7, EMR, databases, networks, operating systems, cloud integrations, and infrastructure. Owns incidents through resolution, coordinates escalations, maintains customer communication, documents troubleshooting, supports maintenance and implementations, monitors system health, contributes to root-cause analysis, and participates in on-call rotations. The role also delivers customer training and collaborates with engineering, infrastructure, product, project management, and customer success teams.

Develop and maintain SQL Server migration solutions and C# WinForms applications for transferring complex legacy healthcare data into a Radiology Information System. Responsibilities include data extraction, cleansing, transformation, reconciliation, validation, troubleshooting, automation, file processing, and documentation. The role manages multiple migration projects, maintains data integrity, enhances internal migration tools, and collaborates with project managers, technical teams, and customers. Healthcare IT, RIS/PACS/EHR, HL7, DICOM, and legacy conversion experience are valuable.

Conduct machine learning research on X-ray, CT, and MRI foundation and vision-language models. Responsibilities include reviewing literature, proposing and testing approaches, training and evaluating models on large-scale medical imaging datasets using cloud and HPC infrastructure, contributing tested Python and PyTorch code, documenting experiments, presenting results, and collaborating with researchers and engineers. The internship lasts approximately six months in Paris under a French school internship agreement.

Provides first- and second-level technical support for healthcare IT systems, including incident troubleshooting, ticket triage, customer communication, implementation projects, and cross-functional escalation. Maintains support records, improves processes and knowledge bases, ensures compliance, and supports key customers. Requires expertise in Windows, Linux, healthcare applications, networking, hardware, ITIL processes, and clinical technologies such as PACS, DICOM, and HL7.

Conduct live product demonstrations and engage customers to drive interest and sales for radiology workflow solutions. Maintain product knowledge, support sales efforts, coordinate events and trade shows, gather customer feedback, and report on demo activities. Collaborate with sales teams to meet targets while ensuring compliance with safety, HIPAA, and quality standards.

Owns the roadmap, requirements, customer discovery, and delivery coordination for Enterprise Imaging and radiology reporting products. Partners with engineering, UX, quality, regulatory, marketing, sales, and customer success teams through Agile development and launches. Translates radiologist and healthcare stakeholder needs into product requirements, manages PACS/RIS/EHR interoperability, monitors adoption metrics, and supports AI-assisted reporting, workflow orchestration, cloud, and diagnostic reporting initiatives.

Supports global data privacy compliance programs involving HIPAA and GDPR. The role assists with Privacy by Design for software and AI use cases, vendor privacy assessments, Data Processing Agreements, Transfer Impact Assessments, regulatory research, privacy investigations, data subject inquiries, documentation, audits, and regulatory readiness. The position collaborates cross-functionally to monitor personal data handling and implement privacy controls.

Own the architecture, roadmap, tooling, and engineering standards for a machine learning monorepo supporting experimentation through production deployment. Build CI, testing, dependency, container, registry, scheduling, model packaging, and inference infrastructure across GCP and HPC environments. Ensure reproducibility, traceability, performance, and reliability while leading agentic coding adoption. Mentor engineers, review code, collaborate with researchers, and resolve platform issues.

Serves as the technical authority for Salesforce and CPQ-CLM, owning architecture, integrations, automation, security, release strategy, governance, and technical support. Leads Jira integration management, designs scalable CRM solutions, supports Sales users, translates business requirements, reviews technical work, mentors peers, and coordinates cross-time-zone handoffs. The role is remote, supports US Eastern hours, and requires up to 10% domestic or international travel.

Builds and operates security controls, tooling, detection content, and automation across cloud and corporate environments. Responsibilities include SIEM/SOAR administration, log onboarding, endpoint security, cloud configuration and hardening, identity and access controls, Kubernetes security, secrets management, vulnerability remediation, incident investigation, audit support, and technical documentation. The role provides remediation guidance, improves detection quality, supports resilience exercises, and maintains auditable, version-controlled security configurations in a regulated healthcare environment.

Own the reliability, availability, security, and performance of cloud software deployed at client sites. Define SLOs, build observability and automation, lead incident response, conduct capacity planning, secure infrastructure and CI/CD pipelines, support deployments, and maintain audit trails. Provide technical leadership, mentor engineers, and collaborate with operational teams and customers. The role is remote-friendly in France or the Netherlands with occasional European travel.

Build and maintain software for clinical AI medical devices across radiology modalities. Develop features, integrate systems, validate and route requests, assemble results, and support production services. Write and review code, create automated and manual tests, and own features through deployment. Ensure quality, regulatory, cybersecurity, documentation, and risk-analysis compliance while collaborating with product, service, and delivery teams.

The Territory Sales Manager drives sales growth of AI-powered radiology solutions, building relationships with key healthcare stakeholders and executing territory sales strategies.

Leads research into foundation models and generative AI for medical imaging and radiology. Responsibilities include defining research roadmaps, designing novel multimodal architectures, building experimental systems, benchmarking clinical and technical tasks, collaborating on deployable solutions, publishing research, mentoring researchers, and engaging academic partners.

Coordinates healthcare IT and clinical AI projects from kickoff through go-live. Maintains plans, milestones, resource trackers, documentation, dependencies, and action items; monitors risks and delays; supports testing and operational readiness; prepares status updates and communications; and facilitates collaboration among engineering, product, clinical, client operations, and external stakeholders.

Owns data engineering topics across medical products, including dataset creation, exports, annotation workflows, monitoring, pipelines, dashboards, and automation. Designs data architecture and reusable tooling, improves data processes, supports AI performance oversight, establishes annotation standards, and mentors junior team members. Collaborates with radiologists, product managers, AI engineers, and clinical researchers to create medically representative datasets and support medical product development.

Directs the organization’s AI Governance program, developing frameworks, policies, risk assessments, inventories, compliance processes, and responsible AI practices. Partners with Information Security, Data Privacy, Legal, Vendor Management, Ethics, and IT to evaluate AI vendors, review contracts, support audits, provide expert guidance, and deliver training. The role requires expertise in NIST AI RMF, ISO 42001, the EU AI Act, and AI compliance within healthcare or another highly regulated industry.

Leads the enterprise data governance strategy, framework, roadmap, policies, standards, and data quality programs. Establishes metadata, lineage, master data, classification, access, and privacy practices while partnering with IT and Security to support secure AI initiatives. The role resolves cross-functional data issues, aligns governance with regulatory requirements, measures data quality, and develops the governance team in a regulated healthcare or technology environment.