first-rate skills in professional clinical systems management, it will therefore be advantageous for the successful candidate to also have working knowledge of the DICOMand HL7 standards and their application. The post holder will be involved in changes and updates to RIS, PACS and other systems related to clinical More ❯
cloud platforms (e.g., AWS, Azure, GCP). Understand data modelling concepts and best practices. Experience with healthcare data standards (e.g., HL7, FHIR, ICD, SNOMED, DICOM) preferred. Excellent problem-solving and communication skills. Ability to communicate complex ideas effectively, both verbally andin writing. Ability to engage all levels of the More ❯
methods both in medical device settings and non-medical device settings. Familiarity with healthcare systems (EMR, EHR, PACS) and medical data exchange standards (HL7, DICOM, IHE, etc.). Eagerness and willingness to learn new technologies. Strong understanding and proven experience of Infrastructure/Networking/Security/MDM, with knowledge More ❯
assessments/selection, RFIs and RFPs Flexible approach to occasional travel to West London office (when required) Nice to have: HL7/FHIR/DICOM awareness Previous experience of working across a broad range of technologies used in a Clinics business environment including typically deployed applications covering GPs, Health Assessments More ❯
system administration AWS and GCP administration Experience with GPU cluster and Linux server administration Desirable PhD in medical image analysis Working knowledge of the DICOM standard, volume reconstruction, 3D rendering techniques, statistical modelling Experience with AI model training pipelines and architectures (transformers, diffusion models etc) Understanding of fundamental statistical concepts More ❯
distribution channels. What do the AI outputs look like in my workflow? The outputs from the AI solutions can be displayed in different ways: DICOM objects stored directly in your PACS, utilizing heat-maps, lines/arrows, bounding boxes, regions of interest, circles and/or volumetric segmentations. How do More ❯
are essential for pathologist productivity. Key Functional Highlights Fast, intuitive image navigation (zoom, pan, enhancement tools) Support for various WSI formats: .svs, .ndpi, .tiff, DICOM Annotation tools: freehand, shapes, text, private notes Measurement and calibration tools Secure audit trail logging and user context awareness (no separate auth layer—context passed More ❯
Stafford, Staffordshire, West Midlands, United Kingdom Hybrid / WFH Options
Circle Group
Proven Azure expertise - deployment, configuration, and administration Strong experience with Windows Server and Active Directory Good understanding of SharePoint Experience with Pagination Medical/DICOM is highly beneficial A background in healthcare or regulated environments is a plus Candidates from related technical backgrounds are welcome to apply If you are More ❯
and service efficiency. This is more than just a technical role - youll be hands-on with Mirth Connect, scripting JavaScript transformations, ensuring HL7 andDICOM workflows run smoothly, and working closely with clinicians, solution architects, and operational teams. If you thrive on solving complex data challenges and want your work … a remote role, with occasional travel. Main duties of the job Lead technical delivery of integrations using Mirth Connect, with a focus on HL7, DICOM, and emerging standards like FHIR. Script, configure, and troubleshoot data flows across clinical systems to ensure accurate, secure, and timely information exchange. Collaborate with cross … and data integrity at all times. Mentor and elevate the team, setting the standard for coding, testing and interface design, sharing knowledge on HL7, DICOM, JavaScript and Mirth Connect best practices. About us InHealth is the UKs largest specialist provider of diagnostic and healthcare solutions. Our aim is to make More ❯
you will enable accurate, timely data sharing throughout our clinical ecosystem. You will also support and guide other engineers on best practices for HL7, DICOM, and potentially FHIR-based workflows. Experience in radiology integrations (e.g. RIS/PACS) is particularly beneficial, though not mandatory. You have experience of Your success … similarly regulated sector. You likely have: Extensive Integration Engineering Background A proven history of configuring and optimising Mirth Connect channels, employing JavaScript for HL7, DICOM, and potentially FHIR transformations. Familiarity with XML/JSON for message validation and data handling; experience with radiology systems (e.g. RIS/PACS) is a … Git). Experience with RESTful APIs is desirable, facilitating broader interoperability where needed. High-Performance & Reliable Data Flows Expertise in scaling solutions for large DICOM images or high-volume HL7 traffic, minimising disruption to clinical services. Cross-Functional Collaboration A track record of working effectively with clinical, architectural, and operational More ❯
Oxford, England, United Kingdom Hybrid / WFH Options
Humand Talent
on software engineering , ideally in the medical device or healthcare sector. Solid understanding of how distributed systems are built, maintained and scaled. Familiarity with DICOM, HL7, FHIR , and formats used in CT or MRI workflows. Proficiency in Python , or an eagerness to work with it in a production environment. Experience … in a cloud-native architecture . Data pipelines and algorithms for medical imaging analysis . Interfaces with hospital systems and data formats such as DICOMand FHIR . A team that combines engineering, research and operations , all working towards meaningful health outcomes. Benefits Snapshot £60,000 – £70,000 base salary More ❯
and clinicians to: Build, train, and optimise deep learning models (3D CNNs, segmentation models, landmark detection models, etc.) Work with CBCT, MRI, and other DICOMimaging modalities Contribute to research papers, validation studies, and clinical trials Optimise models for inference (using tools like TensorRT, mixed precision, quantisation) Help set up … etc.) Solid understanding of 3D data, segmentation tasks, and landmark detection Hands-on with frameworks like PyTorch , TensorFlow , MONAI , nnU-Net , etc. Experience with DICOM data handling Bonus points for any exposure to regulatory standards (ISO 13485, FDA SaMD) or experience in clinical AI validation MSc, PhD, or equivalent industry More ❯