Medical Imaging Engineer
GrowingProcessing and analysing medical images through purpose-built software and imaging algorithms
Medical Imaging Engineer Salary
United Kingdom
£45,000 – £82,000
United States
$88,000 – $152,000
Varies by location, sector, and experience. Last updated: 2025.
What Is a Medical Imaging Engineer?
A Medical Imaging Engineer develops and maintains the software systems and algorithms that acquire, process, reconstruct, and display medical images — the computational layer between imaging hardware and the clinical environment where radiologists, clinicians, and AI diagnostics systems use those images to make decisions. The role spans image reconstruction algorithms, DICOM data management, image processing pipelines, and the viewer and workflow software through which images are accessed and reported in clinical practice. Medical Imaging Engineers work at a specialised intersection of signal processing, software engineering, and healthcare IT, where the output of their work directly informs clinical diagnosis.
What distinguishes this role from a Medical Device Software Engineer is the domain specificity of imaging: Medical Imaging Engineers work with the algorithms and data structures native to medical imaging — DICOM standards, image reconstruction mathematics, pixel-level processing, and the viewer architecture of PACS and radiology information systems — rather than with device software in the broader sense. The role exists in medical imaging equipment manufacturers including Siemens Healthineers, Philips Healthcare, and GE HealthCare; in PACS and radiology software vendors; in NHS trusts and hospital systems managing imaging infrastructure; and in healthcare AI companies building diagnostic imaging models that depend on high-quality image processing pipelines.
What Does a Medical Imaging Engineer Do?
- Develop image reconstruction and processing algorithms for medical imaging modalities including MRI, CT, and ultrasound
- Build and maintain DICOM data management infrastructure, including worklist management, DICOM routing, and archiving systems
- Design and implement medical image viewer software and PACS integrations for clinical radiology and reporting workflows
- Integrate medical imaging systems with hospital information systems, EPR platforms, and AI diagnostic tools via HL7 and FHIR interfaces
- Ensure imaging software meets IEC 62304 development standards and applicable medical device regulatory requirements for image processing Software as a Medical Device
- Optimise image processing pipeline performance to meet clinical throughput requirements across radiology department volumes
Medical Imaging Engineer Skills
Hard Skills
- Signal Processing
- Algorithm Design
- Numerical Methods
- C++
- Python
- Health Data Standards
- Software Architecture
- Regulatory Compliance
- Performance Optimisation
- Data Quality Management
Soft Skills
- Engineering DisciplineBuilding imaging software under IEC 62304 and medical device regulatory requirements
- Analytical RigourValidating image reconstruction algorithms and signal processing against clinical quality standards
- Attention to DetailPixel-level processing precision and DICOM standard compliance in imaging pipelines
- Problem SolvingOptimising image processing performance to meet radiology department throughput requirements
- CollaborationWorking across radiologists, imaging hardware engineers, and AI diagnostic system teams
- Methodical ApproachSystematic DICOM routing, worklist management, and imaging archive operations
Medical Imaging Engineer Tools & Software
How to Become a Medical Imaging Engineer
Typical Route
Most Medical Imaging Engineers hold a bachelor's degree in Biomedical Engineering, Electrical Engineering, or Computer Science. Universities including Johns Hopkins, Georgia Tech, and the University of California San Diego offer biomedical engineering and medical technology programs with imaging and signal processing content. A master's degree in Medical Imaging, Biomedical Engineering, or Medical Physics supports specialist progression into research and clinical deployment roles. Many practitioners enter from electrical engineering or physics backgrounds and develop imaging-specific software and regulatory knowledge through industry placements and graduate programs at medical device companies.
Alternative Route
FDA 510(k) submission process training and ISO 13485 and IEC 62304 courses through BSI and Intertek are relevant for practitioners developing medical imaging software within regulated quality management systems. DICOM standard study through OFFIS DCMTK documentation and open-source imaging platforms including 3D Slicer and OsiriX provides the primary technical self-directed learning route. The American Institute for Engineering in Medicine offers professional development relevant to US medical imaging practitioners. Coursera's Medical Imaging specialisations and the FDA's guidance on Software as a Medical Device provide accessible structured regulatory and technical grounding for engineers transitioning from adjacent disciplines.
A Day in the Life of a Medical Imaging Engineer
Morning
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Medical Imaging Engineer Career Path
Junior Medical Imaging Engineer
0–2 yrs
Medical Imaging Engineer
2–4 yrs
Senior Medical Imaging Engineer
4–7 yrs
Lead Medical Imaging Engineer
7–10 yrs
Principal Engineer / Head of Medical Imaging
10+ yrs
Medical Imaging Engineer Job Outlook
AI-assisted medical imaging is one of the most active areas of clinical AI deployment, with radiology, pathology, and ophthalmology leading adoption across both research and regulated clinical use. Device manufacturers, digital pathology platforms, and hospital technology teams are all scaling engineering capability. UK activity is anchored in London and academic medical centres in Oxford, Cambridge, and Manchester; US hiring concentrates in Boston, San Francisco, and major health system technology hubs. Engineers with deep learning implementation experience, DICOM standards knowledge, and familiarity with FDA or UKCA medical device software regulatory pathways are consistently difficult to source.