Solution Architect Medical Devices

Agiliad; Pune District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Agiliad is seeking a skilled Medical Domain Specialist in Pune, India, to join our healthcare technology team. You will work on medical image processing, DICOM standards, and integration across imaging devices and PACS.

The role requires a Ph.D./M.Tech in Biomedical Engineering or related field, with 10–20 years of experience, and hands-on experience with imaging modalities such as MRI, CT, ultrasound, and X-ray.

Qualifications

• Deep domain knowledge in Medical Imaging and Radiology.
• Hands-on with DICOM parsing and metadata analysis.
• Proficiency in Python/C/C++ for medical image processing.

Responsibilities

• Define and validate image processing algorithms and DICOM workflows with cross-functional teams.
• Develop and optimize imaging techniques for MRI, CT, Ultrasound, X-ray.
• Implement DICOM standards for image acquisition, storage, and transmission.
• Support integration of DICOM communication between devices, PACS, and systems.
• Contribute to R&D in computer vision and AI/ML for diagnostic imaging.

Skills

Medical imaging

DICOM workflows

Python/C/C++

Image analysis libraries

AI/ML for imaging

Education

Ph.D./M.Tech in Biomedical Engineering/Medical Imaging or related field

Tools

DICOM protocol tools

PACS/RIS knowledge

Job description

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.