Imaging Informatics Solutions Specialist

A leading healthcare technology organization is seeking an Imaging Informatics Solutions Specialist to join its Customer Success team. This customer-facing technical role combines imaging informatics, cloud technologies, automation, and customer success, supporting the implementation, integration, optimization, and ongoing success of enterprise imaging analytics solutions within complex healthcare environments. The ideal candidate will partner with hospital IT teams and clinical stakeholders to solve technical challenges, improve imaging workflows, and help customers maximize the value of their technology investments.
This is an opportunity to work at the intersection of healthcare technology, imaging informatics, cloud infrastructure, and customer success. The position offers exposure to leading healthcare organizations and complex enterprise environments, allowing professionals to solve meaningful technical challenges, influence product improvements, and help customers maximize the value of advanced imaging analytics solutions. Required Skills & Experience

• Bachelor's degree in Computer Science, Information Technology, Engineering, Healthcare Informatics, or related field, or equivalent professional experience.
• Experience with healthcare imaging systems and standards including PACS, RIS, DICOM, and HL7.
• Experience supporting technical implementations, integrations, or customer-facing healthcare technology environments.
• Working knowledge of Python and SQL for automation, reporting, and data workflows.
• Experience with AWS, Docker, and Terraform.
• Experience with SAML SSO, APIs, and enterprise application integrations.
• Strong troubleshooting, documentation, organizational, and communication skills.
• Ability to work directly with hospital IT teams, PACS administrators, and clinical stakeholders.

Desired Skills & Experience

• Experience with Jenkins and CI/CD automation processes.
• Experience with business intelligence integrations and reporting platforms.
• Imaging analytics experience within healthcare environments.
• Knowledge of healthcare data governance, compliance, and security best practices.
• Experience working in SaaS or cloud-based healthcare software organizations.
• Customer success, technical consulting, or solutions engineering experience.

What You Will Be Doing Tech Breakdown

• 25% Imaging Informatics (DICOM, PACS, RIS, HL7)
• 20% Customer Implementations & Integrations
• 15% Cloud Infrastructure (AWS, Docker, Terraform)
• 15% Automation & Reporting (Python, SQL, Jenkins)
• 15% Technical Support & Troubleshooting
• 10% Customer Success & Stakeholder Management

Daily Responsibilities

• 30% Implement and support imaging workflow integrations and interoperability solutions.
• 20% Troubleshoot customer infrastructure, data integrity, and application issues.
• 15% Configure SAML SSO, APIs, and enterprise integrations.
• 15% Build and maintain automated reporting and analytics workflows.
• 10% Collaborate with healthcare IT teams, administrators, and internal engineering teams.
• 10% Document solutions, share best practices, and advocate for customer needs.

The Offer

• Competitive Salary $90,000-$110,000
• Medical, dental, and vision coverage
• Professional development and technical learning opportunities
• Exposure to enterprise healthcare technology environments
• Opportunity to influence product evolution and customer success initiatives
• Onsite 5 days/week

Join a growing healthcare technology leader helping hospitals and health systems improve imaging quality, optimize operational performance, simplify compliance, and unlock actionable insights from imaging data. This role combines deep technical work with meaningful customer interaction, offering a unique opportunity to become a trusted advisor in imaging informatics while working with modern technologies including AWS, Docker, Terraform, Python, SQL, and enterprise healthcare integrations. Successful candidates will have a direct impact on customer outcomes, product innovation, and the future of imaging analytics