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Dicom Jobs (NOW HIRING)

Clera

Medical AI Researcher

San Francisco, CA · On-site

$150K - $230K/yr

Analyze medical imaging workflows (DICOM/PACS, radiology pipelines) and translate findings into actionable evaluation evidence. * Deliver clear, defensible reports and presentations for regulatory ...

Voxelcloud

Software Engineer

Los Angeles, CA · On-site

Knowledge of DICOM files, DICOM communication protocols, HL7 and FHIR standard preferred * Python experience preferred * 10+ years of Medical Device or regulated industry experience preferred ...

Voxelcloud

Software Engineer

Los Angeles, CA · On-site

Knowledge of DICOM files, DICOM communication protocols, HL7 and FHIR standard preferred * Python experience preferred * 10+ years of Medical Device or regulated industry experience preferred ...

Samprasoft

Sr Software Engineer

Eden Prairie, MN · On-site +1

$124K - $164K/yr

Requirements, Definition, Design, Development and Testing for software platforms with OEM connectivity, DICOM and RIS/PACS interface * Coordinate with R&D leadership to synchronize product and ...

Superlanet

PACS Administrator

San Leandro, CA · On-site

$65 - $80/hr

Troubleshoot and resolve DICOM Modality Worklist issues \n * Configure and maintain imaging modalities for seamless PACS integration \n * Manage and prioritize multiple requests in a fast\-paced ...

C the Signs

Lead Data Engineer

Develop ingestion pipelines for clinical and administrative data in HL7, FHIR, DICOM, and custom formats. * Develop ingestion and transformation pipelines to be used for AI/ML development and model ...

Clera

Medical AI Researcher

San Francisco, CA · On-site

$150K - $230K/yr

Analyze medical imaging workflows (DICOM/PACS, radiology pipelines) and translate findings into actionable evaluation evidence. * Deliver clear, defensible reports and presentations for regulatory ...

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How much do dicom jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for dicom in the United States is $46.00, according to ZipRecruiter salary data. Most workers in this role earn between $30.05 and $63.22 per hour, depending on experience, location, and employer.

What is a DICOM job?

A DICOM job typically refers to a role related to managing, supporting, or developing solutions for medical imaging systems that use the DICOM (Digital Imaging and Communications in Medicine) standard. This can include positions like PACS Administrator, DICOM Engineer, or Radiology IT Specialist. Responsibilities often involve configuring DICOM servers, troubleshooting image transfers, ensuring compliance with medical imaging standards, and integrating imaging systems with hospital networks.

What are the key skills and qualifications needed to thrive in the Dicom position, and why are they important?

To excel in a DICOM Specialist or DICOM Analyst role, you need a solid understanding of medical imaging modalities, data standards (especially DICOM), PACS systems, and information technology, often supported by a degree in healthcare IT or radiologic technology. Familiarity with medical imaging software, HL7 integration, network protocols, and troubleshooting tools, as well as certifications like CIIP (Certified Imaging Informatics Professional), are commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills are vital for collaborating across radiology, IT, and clinical teams. These skills and qualifications ensure reliable imaging data management, smooth system interoperability, and support for efficient healthcare delivery.

What are the main responsibilities of a DICOM Specialist or DICOM Analyst on a daily basis?

As a DICOM Specialist or DICOM Analyst, your typical day involves managing and troubleshooting the flow of medical images within PACS and radiology information systems, ensuring compliance with DICOM standards, and supporting integrations with other clinical systems. You may work closely with radiologists, IT personnel, and clinical staff to resolve technical issues, optimize workflows, and implement new imaging solutions. The role typically requires a mixed environment between hands-on technical work and user support, with some days focusing on system maintenance and others on project implementation or upgrades. Collaboration is key, as you serve as a liaison between technical teams and healthcare providers to maintain the integrity and accessibility of critical imaging data. This multifaceted position offers opportunities for career growth into PACS administration, healthcare IT project management, or imaging informatics leadership roles.

More about Dicom jobs
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Dicom jobs near you
Infographic showing various Dicom job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 62% Full Time, 34% Part Time, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $95,689 per year, or $46 per hour.

Medical AI Researcher

Clera

San Francisco, CA • On-site

$150K - $230K/yr

Full-time

Posted 15 days ago

Job description

About the Role

Join a healthtech company conducting rigorous, independent evaluations of medical imaging AI systems — bridging the gap between benchmark performance and clinical reliability. As a Medical AI Researcher, you'll work directly with medical imaging companies preparing FDA submissions, owning customer engagements end-to-end: from defining evaluation questions to delivering evidence that informs go/no-go decisions. You'll combine practical ML skills with customer-facing judgment to characterize model behavior, generalization, and uncertainty in real-world clinical workflows.

What You'll Do

  • Lead end-to-end customer engagements: run meetings, define evaluation questions, and scope investigations.

  • Design and execute investigations that characterize model behavior, generalization, failure modes, and remaining uncertainty.

  • Analyze medical imaging workflows (DICOM/PACS, radiology pipelines) and translate findings into actionable evaluation evidence.

  • Deliver clear, defensible reports and presentations for regulatory and internal audiences under tight timelines.

  • Collaborate with customers and cross-functional teams to inform go/no-go decisions and drive impact on product strategy.

What We're Looking For

  • Required: Hands-on expertise in medical imaging workflows and integration (DICOM/PACS, radiology pipelines) and integrating ML models into clinical systems.

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field — or equivalent practical experience.

  • Several years of experience in ML evaluation or medical imaging AI.

  • Practical MLOps and model evaluation skills: building reproducible evaluation pipelines, model validation/monitoring, and proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow).

  • Familiarity with Docker and Kubernetes.

  • Nice to have: Experience with regulatory considerations for medical AI (FDA submissions such as 510(k) or De Novo).

  • Healthcare industry experience preferred.

Compensation & Benefits

Salary range: $150,000 – $230,000 USD annually. Please note that visa sponsorship is not available for this role.

Location

This is an on-site role based in San Francisco, CA. Candidates must be available to work from the San Francisco office.