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Dicom Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Senior Software Engineer, Adaptive

OR · Remote

$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 ...

$125K - $154K/yr

DICOM, HL7 & FHIR Interoperability Standards * EHR Platforms (e.g., Epic, Cerner) * Enterprise Imaging Viewers & Cloud Imaging Tools * AI-Enabled Imaging & Workflow Solutions Role Essentials

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Dicom information

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How much do dicom jobs pay per hour?

As of Jul 22, 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.

What cities are hiring for Dicom jobs? Cities with the most Dicom job openings:
What are the most commonly searched types of Dicom jobs? The most popular types of Dicom jobs are:
What states have the most Dicom jobs? States with the most job openings for Dicom jobs include:
Infographic showing various Dicom job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 65% Full Time, 32% Part Time, and 2% 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.

Full-time

Posted 14 days ago


Job description

We are seeking a Lead Data Engineer to architect, build, and scale our next-generation healthcare data platform. In this role, you will lead the effort to design robust pipelines, modernize data architecture, and ensure high-quality ingestion and transformation of clinical and operational data. You'll collaborate closely with product, analytics, clinical informatics, machine learning, and engineering teams to deliver trusted, timely, and compliant insights.
This is a hands-on leadership role ideal for someone who enjoys setting technical direction while still contributing code and guiding stakeholders through complex healthcare data challenges.
Responsibilities
Architecture & Strategy
  • Lead design and evolution of our cloud-native data platform built primarily on Google Cloud Platform, including BigQuery, Cloud Storage, Pub/Sub, Cloud Run, Airflow (Cloud Composer), and Healthcare API.
  • Inform strategic decisions around multi-cloud or AWS interoperability when needed.
  • Establish data engineering best practices, coding standards, and architectural patterns.
Pipeline Development
  • Build scalable ETL/ELT pipelines using dbt for transformations and Airflow for orchestration.
  • 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 training.
  • Implement streaming and batch dataflows using Pub/Sub, Dataflow, and serverless compute.
  • Support or guide integrations with AWS-based partner systems or AWS-hosted data sources when applicable.
Data Modeling & Warehousing
  • Design and maintain BigQuery datasets, semantic layers, and warehouse structures.
  • Leverage industry standards such as FHIR resources for canonical healthcare models.
  • Provide guidance on data modeling and warehouse best practices across both GCP and AWS ecosystems.

Data Quality, Observability & Governance
  • Implement data quality frameworks, automated testing, and monitoring.
  • Ensure HIPAA compliance and proper handling of PHI/PII across all pipelines and cloud environments.
  • Drive lineage, documentation, metadata governance, and dbt docs adoption.
Leadership & Collaboration
  • Partner with analytics, product, clinical informatics, and security teams to deliver high-quality, trustworthy data products.
  • Provide oversight and technical direction for multi-cloud data integrations with AWS-based systems or partners.
  • Assist in the recruitment and development of junior data engineers

Requirements
  • 7+ years of data engineering experience; 2-3+ years in a lead or senior technical role.
  • Deep, hands-on expertise in GCP, particularly:
    • BigQuery
    • GCP Healthcare API (FHIR and DICOM stores)
    • Cloud Storage, Pub/Sub, Cloud Run/Functions
  • Strong proficiency with:
    • dbt (Core or Cloud)
    • Airflow (Cloud Composer or self-managed)
    • Python and advanced SQL (BigQuery preferred)
  • Hands-on experience with healthcare standards:
    • FHIR (R4/US Core), HL7 v2/v3, DICOM, C-CDA, X12
  • Strong understanding of PHI handling, HIPAA compliance, and healthcare interoperability.
Preferred
  • AWS experience, especially with:
    • Redshift, Lambda, S3, Glue, Kinesis, Athena, API Gateway, Step Functions
  • Experience building or maintaining multi-cloud pipelines bridging GCP and AWS.
  • Background with Dataflow/Beam or other stream processing frameworks.
  • Experience working with EHR integrations, claims processing, HIEs, or clinical data networks.
  • Familiarity with ML-enabled data pipelines or feature engineering in healthcare contexts.

Benefits
Why Join Us?
Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.
Benefits:
  • Competitive salary and benefits package.
  • Flexible working arrangements (remote or hybrid options available).
  • The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
  • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.