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

9 Minutes ago • All levels

Job Summary

Job Description

The Senior Software Engineer is responsible for collaborating with the team to establish software quality goals and development practices. They will develop software to log and store performance data, usage, and errors, enabling continuous monitoring. The role involves integrating software components and third-party libraries, ensuring smooth functionality, analyzing and optimizing application performance, and suggesting improvements to existing workflows. The engineer will also mentor team members and contribute to the design and development of clinical applications in CT image processing, including quantitative imaging and post-processing tools. This role requires strong understanding of user/product requirements.
Must have:
  • Develop clinical application software in CT image processing.
  • Integrate medical image processing algorithms.
  • Optimize clinical workflows.
  • Ensure high-performance software for real-time CT image processing.
  • Develop medical imaging software in compliance with industry standards and regulations.
  • Build test cases and validate image processing applications.
  • Collaborate with cross-functional teams to meet clinical and regulatory objectives.
Good to have:
  • Advanced degree (Master’s/PhD) in related fields, especially with a focus on medical image processing.
  • Experience with parallel computing and GPU acceleration frameworks.
  • Familiarity with advanced imaging techniques such as multi-energy/spectral CT processing.
  • Knowledge of libraries or frameworks like TensorFlow or PyTorch for developing AI-driven clinical applications.
  • Experience in software optimization for high-volume data processing.

Job Details

Job Title

Senior Software Engineer(临床开发与图像处理软件开发)

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., CUDAOpenCL, 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.

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About The Company

Over the past decade we have transformed into a focused leader in health technology.

At Philips, our purpose is to improve people’s health and well-being through meaningful innovation. We aim to improve 2.5 billion lives per year by 2030, including 400 million in underserved communities.

We see healthcare as a connected whole. Helping people to live healthily and prevent disease. Giving clinicians the tools they need to make a precision diagnosis and deliver personalized treatment. Aiding the patient's recovery at home in the community. All supported by a seamless flow of data.

As a technology company, we – and our brand licensees – innovate for people with one consistent belief: there’s always a way to make life better.


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