Senior Software Engineer (Clinical Development and Image Processing Software Development)

Job Title

Job Description

PURPOSE

The Software Development Engineer is responsible for collaborating with the team to establish software quality goals and development practices, fostering continuous improvement and excellence in software development through stringent standards and methodologies. The role develops software to log and store performance data, usage, errors, etc., enabling continuous monitoring of solutions and products for improved reliability and performance. The role integrates software components and third-party libraries into existing systems, ensuring smooth functionality and interoperability with minimal disruption. The role analyzes and optimizes application performance, identifying and resolving bottlenecks to enhance user experience and system efficiency, ensuring software meets performance benchmarks. The role suggests improvements to existing workflows, demonstrating good understanding of user/ product requirements in the areas of responsibility and mentors team members, motivating and unifying team.

PRINCIPAL ACCOUNTABILITIES

1. Design and Development of Clinical Application Software

• Develop software for advanced clinical applications in CT image processing, such as:

  • Quantitative imaging (e.g., stroke, organ segmentation).

  • Post-processing tools (e.g., multi-planar reconstruction, 3D visualization).

  • Disease detection and characterization (e.g. contrast analysis, plaque analysis, tissue differentiation).

• Partner with clinical and R&D teams to understand end-user requirements and translate them into development tasks.

• Focus on creating intuitive, efficient, and user-friendly interfaces and workflows for clinical users.

2. Image Processing Algorithm Development and Integration

• Implement, optimize, and integrate medical image processing algorithms, such as:

  • Iterative reconstruction techniques.

  • Noise reduction, contrast enhancement, and artifact correction.

  • AI-based image analysis models (e.g., segmentation, classification, pattern recognition).

• Collaborate with data scientists and algorithm engineers to integrate proprietary algorithms into clinical applications.

3. Clinical Workflow Optimization

• Analyze clinical workflows and recommend software features to streamline processes for radiologists, technicians, and physicians.

• Ensure the software can adapt to real-world clinical scenarios and meet the operational needs of hospitals and imaging centers.

4. Performance Optimization

• Ensure high-performance software for real-time CT image processing.

• Optimize GPU/CPU utilization for computationally heavy algorithms, such as 3D visualization and iterative reconstructions.

• Conduct profiling and benchmarking for resource-intensive tasks to ensure efficiency and scalability.

5. Regulatory Compliance and Documentation

• Develop medical imaging software in compliance with industry standards and regulations, including:

  • IEC 62304 (Software Life Cycle for Medical Devices).

  • ISO 14971 (Risk Management for Medical Devices).

  • DICOM (Digital Imaging and Communications in Medicine) standards.

• Maintain proper documentation, including software design descriptions, user manuals, and testing logs.

• Support software verification and validation (V&V) to ensure regulatory compliance.

6. Clinical Testing and Validation

• Build test cases and use real clinical datasets to validate the accuracy, usability, and robustness of image processing applications.

• Conduct usability testing and interviews with clinicians and radiologists to identify pain points and areas for improvement.

• Assess image quality and algorithm performance on a wide variety of datasets to ensure reliability and accuracy in clinical applications.

7. Cross-Function Collaboration

• Work closely with radiologists, clinical application specialists, software testers, and regulatory teams to ensure clinical and regulatory objectives are met.

• Assist sales and marketing teams by providing clinical insights and supporting customer-facing documentation.

8. Research and Innovation

• Stay up-to-date with trends and innovations in CT imaging, medical image processing, and related AI/ML techniques.

• Explore and propose new software features or solutions to enhance clinical outcomes and diagnostic capabilities.

JOB REQUIREMENTS

The position requires the following personal capabilities and competence for acceptable performance:

      1. Educational Background

• Bachelor’s or Master’s degree in Computer Science, Biomedical Engineering, Software Engineering, Medical Physics, or a related field.

• Preferred: Advanced degree (Master’s/PhD) in related fields, especially with a focus on medical image processing.

2. Technical Skills

Core Programming Skills

• Proficiency in programming languages such as C++, Python, or Java.

• Experience with parallel computing and GPU acceleration frameworks (e.g., CUDA, OpenCL, or OpenMP) for optimizing medical image processing tasks.

Image Processing Expertise

• Strong understanding of CT imaging principles and reconstruction techniques (e.g., FBP, iterative reconstruction, spectral imaging, photon-counting CT).

• Experience in medical image processing with tools like ITK, VTK, or OpenCV.

• Familiarity with advanced imaging techniques, such as noise reduction, multi-energy/spectral CT processing, volumetric CT image analysis, and 3D rendering.

Algorithm Development and Optimization

• Experience with developing and integrating AI/ML models, such as computer vision techniques (e.g., segmentation, detection, classification).

• Knowledge of libraries or frameworks like TensorFlow or PyTorch for developing AI-driven clinical applications.

System and Performance Optimization

• Experience in software optimization for high-volume data processing and real-world clinical applications.

• Knowledge of multi-threaded programming and memory management for improving algorithm performance.

Data Standards and Medical Systems

• Strong understanding of DICOM standards and PACS/HIS/RIS integration.

• Ability to design software that seamlessly integrates into healthcare workflows and conforms to interoperability standards.