Medical Imaging Engineer

Humonics Global; Gurugram District; On-site; USD 340 - 795; Full time

Job summary

An innovative firm is seeking entry-level talent to drive AI innovation in medical diagnostics. This role involves building DICOM data pipelines, ensuring compliance with DICOM standards, and collaborating with AI teams to enhance medical imaging processes. As part of a forward-thinking organization, you will work with diverse medical imaging data, contributing to advancements in early detection and life-saving interventions. If you are passionate about technology and eager to make a difference in healthcare, this opportunity is perfect for you.

Qualifications

• Hands-on experience with DICOM and medical imaging formats.
• Knowledge of data retrieval, PACS, and interoperability frameworks.

Responsibilities

• Build DICOM data pipelines and integrate with PACS and EMRs.
• Perform image preprocessing and collaborate with AI teams.
• Ensure compliance with DICOM standards and manage metadata.

Skills

DICOM

Medical Imaging Formats

DICOM SEG

DICOM SR

Data Retrieval

Metadata Management

PACS

NIFTI

Image Processing

Interoperability Frameworks

Education

BE/B Tech

Tools

Pydicom

Nibabel

SimpleITK

dcmqi

dcm2niix

Job description

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Founder | Driving AI Innovation in Medical Diagnostics & Life Sciences | Advancing Early Detection, Life-Saving Interventions, and Healthcare…

Job Description

We aim to bring about a new paradigm in medical image diagnostics; providing intelligent, holistic, ethical, explainable and patient centric care. We are looking for innovative problem solvers. We want people who can empathize with the consumer, understand business problems and design and deliver intelligent products. People who have experience working with medical imaging data from various sources. You will need to understand the nuances of different makes and manufacturers. You should be comfortable working with different image modalities including but not limited to DICOM. Understanding of the DICOM standard in imaging, communication and reporting is key. Performing the necessary preprocessing steps and enhancements to images as well as collaborating with annotation and PACS teams will be key.

Responsibilities

• Building DICOM data pipelines, integrating them with PACS, viewers and EMRs.
• Ensuring Data Retrieval and collation from different Databases in compliance with DICOM standards.
• Working with metadata, image compression and correct carry forward of parameters from DICOM to NIFTI.
• Eliminate viewer and acquisition dependent variables between image series.
• Understanding the differences in machine and manufacturer specific imaging and metadata and ensuring homogeneity in the data that is transferred to the AI model for downstream tasks.
• Performing the necessary image preprocessing, post processing and enhancement.
• Working on understanding the analysis conducted by the AI diagnosis systems and integrating that in an understandable manner for viewing.
• Understanding DICOM SEG, DICOM SR and their nuances.
• Creating Validation frameworks and defining parameters in conjunction with the AI team for DICOM image validation.
• Working on DICOM to NIFTI and reverse conversion. And building pipelines for the same.
• Understanding and building DICOMWeb frameworks for communication across different PACS and AI pipeline solutions.
• Creating frameworks that follow interoperability standards and industry wide best practices.
• Working with various forms of medical image data from radiology and pathology.

Skills and Qualifications

• Excellent understanding and hands-on experience of DICOM as imaging, communication and reporting standard.
• Experience working with different medical imaging formats and understanding their uses and limitations.
• Experience with DICOM SEG and DICOM SR.
• Good knowledge of manufacturer specific and machine specific differences. And how to overcome them.
• Understanding of DICOM communication standard with both TCP/IP and HTTPS.
• In-depth knowledge of DICOMWeb and QR for data transfer and retrieval.
• Knowledge of PACS, data storage, data retrieval, data transfer and DICOM viewers.
• Understanding NIFTI, segmentation, labelling and viewing.
• Experience working with libraries like Pydicom, nibabel, SimpleITK, dcmqi, dcm2niix.
• Functional and technical knowledge of metadata and image data of both DICOM and NIFTI and their conversion.
• Understanding of various medical imaging tests such as MRI and CT and understanding their differences and the variation observed in their application to different diagnostic regimes and different organs.
• Understanding and experience with interoperability frameworks like FHIR and HL7 will be an advantage.
• Excellent verbal and written communication skills
• Excellent analytical and problem-solving skills with good attitude and keen to adapt evolving technologies

Education: BE/B Tech

Seniority level

Entry level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting