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

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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.

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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.

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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.

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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.

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Preferred Experience:

• Prior experience in the medical devices or healthcare software industry.
• Involvement in research publications, clinical collaborations, or FDA/CE-certified product development.