Computer Programmer II (Hybrid) Neurosurgery - Galveston jobs in United States
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UTMB Faculty Group Practice · 1 month ago

Computer Programmer II (Hybrid) Neurosurgery - Galveston

UTMB Health is a healthcare organization focused on innovation and technology in medical fields. They are seeking a Computer Programmer II to develop and optimize software for optical imaging systems in neurosurgery, leveraging machine learning and advanced image processing techniques to improve surgical outcomes.

Hospital & Health Care

Responsibilities

Develop and maintain Python-based control software for optical subsystems (LED drivers, cameras, filters, motorized stages, DAQs, etc.)
Design and implement real-time data acquisition and visualization pipelines for fluorescence, spectral, and photoacoustic imaging
Build and evaluate machine learning models (e.g., classification, segmentation, regression) for improved detection and image analysis
Collaborate with optical engineers, neuroscientists, and clinicians to integrate software with hardware systems and perform benchtop and intraoperative validation
Translate research-grade prototypes into clinically deployable systems
Maintain organized documentation, version control (Git), and contribute to shared multi-site data workflows

Qualification

PythonMachine learningImage processingReal-time data acquisitionOptical components interfacingBiomedical imaging systemsVersion controlCollaborationDocumentation

Required

Associate's degree or equivalent in related field and one year related experience

Preferred

Bachelor's or Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field
Proficiency in Python required; strong experience in libraries such as NumPy, OpenCV, scikit-learn, TensorFlow, or PyTorch
Experience interfacing with optical and electronic components (e.g., cameras, LEDs, filter wheels, motion stages, serial/USB communication)
Working knowledge of image processing and signal analysis
Demonstrated ability to design, test, and document engineering systems in a collaborative environment
Experience with real-time image acquisition and GPU acceleration (CUDA or OpenCL)
Familiarity with biomedical or scientific imaging systems
Experience with machine learning or AI-driven image analysis

Company

UTMB Faculty Group Practice

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The University of Texas Medical Branch (UTMB) Faculty Group Practice (FGP) is comprised of over 950 faculty physicians and advanced practice providers who drive UTMB’s mission of improving health by delivering innovative education and training, pursuing cutting-edge research, and providing the highest quality patient care.

Funding

Current Stage
Late Stage
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