image processing engineer (staff level).

about the job
A bioinformatics scientist to join and develop image analysis solutions for an advanced biological imaging platform. You'll work on analyzing gigabyte-scale tissue images in near real-time to understand cellular and molecular processes. Working with interdisciplinary teams of lab scientists, bioinformatics scientists, and software engineers, you'll build algorithms that transform complex imaging data into actionable biological insights.

about the role

• Partner with lab scientists and bioinformatics scientists to translate biological requirements into effective computational solutions
• Design and implement image processing algorithms that balance accuracy with speed, using both novel approaches and established methods
• Define quality standards for spatial genomics by creating metrics that detect and correct for imaging artifacts, ensuring reproducible results across different instruments and tissue types
• Develop efficient Python cross platform backend software that processes gigabyte-scale images, enabling near real-time analysis within experimental workflows

skills and experience required

• Bachelor degree or higher in computer science, mathematics, data science, bioinformatics or related field
• 8 years developing image analysis software (PhD can substitute for experience

• Image Analysis Expertise: Proven experience with large-scale image processing and computer vision (registration, stitching, segmentation, compression, object detection and distortion correction) of microscopy images. Track record of optimizing algorithms for performance and memory efficiency.
• Extensive experience with Python, including memory management.
• Proficiency with key image processing and machine learning libraries such as NumPy, OpenCV, scikit-image, TensorFlow, etc.
• Familiarity with Python packaging and deployment tools (e.g., conda, wheel, PyInstaller).
• Problem-Solving Approach: Ability to navigate ambiguous problems at the intersection of biology and computation, prototype solutions quickly, and iterate based on validation.
• Communication Skills: Ability to collaborate effectively with cross-functional teams and communicate technical concepts across disciplines.
• Preferred Skills & Experience
• PhD with research focus on biomedical image analysis or computer vision
• Experience with high-throughput microscopy, slide scanners, or digital pathology workflows
• Exposure to GPU programming and cloud computing for image processing acceleration
• Background in spatial biology, single-cell genomics, or next-generation sequencing (NGS)
• Familiarity with cloud computing concepts and desktop application development

To apply online, please use the 'apply' function. Alternatively, you may contact Evangeline.

(EA: 94C3609 / R24124002)