Solution Architect Medical Devices

Job Title : Medical Domain Specialist Location: Pune, India Experience: 10 - 20 years Qualification: Ph.D. / M. Tech in Biomedical Engineering, Medical Imaging, or related field ________________________________________ Position Overview: We are seeking a highly skilled Medical Domain Specialist with expertise in Medical Image Processing and DICOM standards to join our healthcare technology team. The ideal candidate will combine a deep understanding of medical imaging modalities with strong analytical and technical skills to drive innovation in medical image analysis, diagnostic workflow optimization, and integration of DICOM-based systems. ________________________________________ Key Responsibilities: Work closely with cross-functional engineering and clinical teams to define and validate image processing algorithms and DICOM workflows. Develop, test, and optimize medical image processing techniques for modalities such as MRI, CT, Ultrasound, and X-ray. Interpret and implement DICOM standards, including image acquisition, storage, transmission, and parsing. Support integration and validation of DICOM communication between medical devices, PACS, and healthcare systems. Collaborate in R&D initiatives focused on computer vision, AI/ML models for diagnostic imaging, and automation of image analysis. Conduct performance evaluation and validation of medical imaging algorithms in compliance with regulatory standards. Provide domain expertise in biomedical imaging during product design, development, and clinical validation phases. Prepare technical documentation, research papers, and training materials for internal and external stakeholders. ________________________________________ Required Skills & Expertise: Strong domain knowledge in Medical Imaging, Radiology, and Biomedical Signal Processing. Hands-on experience with DICOM protocols, image parsing, and metadata analysis. Proficiency in Python / C / C++ for medical image processing and algorithm prototyping. Experience with OpenCV, SimpleITK, VTK, or similar libraries for image analysis. Understanding of AI/ML-based image classification, segmentation, and enhancement techniques is a plus. Familiarity with healthcare data formats (HL7, FHIR) and PACS/RIS systems preferred. Strong analytical, problem-solving, and documentation skills. ________________________________________ Educational Qualification: Ph.D. or M.Tech in Biomedical Engineering, Medical Imaging, Computer Science, or related field with focus on DICOM and medical image processing. ________________________________________ Preferred Experience: Prior experience in the medical devices or healthcare software industry. Involvement in research publications, clinical collaborations, or FDA/CE-certified product development.