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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 ...

DeepHealth

Implementation Engineer

Somerville, MA · On-site +1

$90 - $100/hr

PACS, radiology workflow, DICOM, and/or HL7 experience (required). Familiarity with healthcare IT systems, including EMR and clinical software (required). Strong customer relationship skills and ...

Radformation

Senior Software Engineer, Adaptive

$150K - $180K/yr

DICOM integration, image registration, dose visualization, DVH evaluation, and machine positioning * Build and optimize algorithms for 3D image processing, coordinate transforms, deformable ...

Alcon

AVS Digital Architect

Fort Worth, TX · On-site

Integrations will involve general networking (TCP/IP), DICOM, HL7, FHIR, and all related networking. The AVS Digital Architect will also assist as needed to support any connectivity concerns ...

Scan.com

Clinical Application Administrator

$80K - $90K/yr

Scan.com has built a national imaging network that processes thousands of scan orders daily - and the HL7 and DICOM integrations underpinning it are mission-critical infrastructure that directly ...

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Dicom information

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How much do dicom jobs pay per hour?

As of Sep 1, 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?

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 does a dicom do?

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.

What are the key skills and qualifications needed to thrive in the dicom position?

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.

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Dicom jobs near you
Infographic showing various Dicom job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 63% Full Time, 33% Part Time, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% 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

Re-posted 10 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.

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