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Mri Python Jobs in California (NOW HIRING)

Senior Computer Vision Engineer

Menlo Park, CA ยท On-site

$116K - $193K/yr

Strong understanding of medical imaging modalities such as CT, MRI, X-ray, ultrasound, fluoroscopy ... Python and/or C++) Preferred Qualifications: * Experience with common AI/ML tools and frameworks ...

Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and ... Fluency in SQL and proficiency in Python or R, with the ability to independently analyze raw ...

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Mri Python information

What is an MRI Python developer?

An MRI Python developer is a professional who specializes in using the Python programming language to work with Magnetic Resonance Imaging (MRI) data. They typically develop software tools and scripts for processing, analyzing, and visualizing MRI scans, often for research, medical imaging, or diagnostic purposes. Their work may involve using specialized Python libraries such as NiBabel, Nipype, or PyTorch for image analysis and machine learning applications in neuroimaging or radiology. MRI Python developers often collaborate with researchers, radiologists, and data scientists to facilitate the interpretation of complex imaging data.

What is the difference between Mri Python vs Mri Technician?

AspectMri PythonMri Technician
Required CredentialsProgramming skills, certifications in Python, possibly healthcare ITRadiologic technologist certification, ARRT registration
Work EnvironmentSoftware development, healthcare IT settings, research labsHospitals, imaging centers, clinics
Employer & Industry UsageHealthcare IT companies, research institutionsMedical facilities, diagnostic imaging providers

While Mri Python involves programming and software development skills used in healthcare IT and research, Mri Technicians focus on operating MRI machines and patient care in clinical settings. Both roles are essential in the MRI field but serve different functions and require distinct qualifications.

What are the key skills and qualifications needed to thrive as an MRI Python developer, and why are they important?

To thrive as an MRI Python developer, you need a strong background in Python programming, image processing, and a solid understanding of MRI physics or medical imaging concepts, typically supported by a degree in computer science, biomedical engineering, or a related field. Familiarity with technical tools such as NumPy, SciPy, NiBabel, and specialized MRI analysis packages like FSL or SPM, as well as experience with data visualization and version control systems, is highly valuable. Attention to detail, problem-solving abilities, and effective communication skills are crucial soft skills for collaborating with multidisciplinary teams and interpreting complex data. These combined skills ensure the development of accurate, efficient software solutions for advanced MRI data analysis and contribute to high-quality research or clinical outcomes.

How does an MRI Python developer typically collaborate with radiologists and data scientists in a healthcare setting?

MRI Python developers often work closely with radiologists and data scientists to design, implement, and optimize software tools for processing and analyzing MRI images. Collaboration involves translating clinical needs into technical requirements, developing image processing pipelines, and ensuring data integrity and compliance with healthcare standards. Regular meetings and code reviews help align software solutions with research and diagnostic goals, fostering a multidisciplinary environment that advances both technical and clinical outcomes.
What cities in California are hiring for Mri Python jobs? Cities in California with the most Mri Python job openings:
Senior Computer Vision Engineer

Senior Computer Vision Engineer

Stryker

Menlo Park, CA โ€ข On-site

$116K - $193K/yr

Full-time

Posted 13 days ago


Job description

Work Flexibility: Hybrid
What You Will Do:
Lead the development and optimization of state-of-the-art computer vision and Artificial Intelligence / machine learning (AI/ML) algorithms and models from conceptualization to deployment on both edge and cloud platforms. Conduct rigorous performance analysis to systematically improve the functionality of computer vision and AI/ML techniques within our product suite. Manage the entire lifecycle of data handling for machine learning models, ensuring compliance with privacy standards during data collection, processing, and labeling. Ensure the reliability and robustness of computer vision and machine learning applications under diverse operational conditions.
  • Independently design, prototype, evaluate, optimize, implement and deploy computer vision and AI/ML algorithms as an integral part of AI-powered medical devices and technologies
  • Be an expert in applying core machine learning techniques including deep learning, feature extraction, model training, evaluation and deployment to design and develop AI-powered medical devices.
  • Skilled in quickly identifying key advances in the computer vision and AI/ML literature and relevance to problems being solved as well as explaining and justifying usage of new approaches through prototyping and demonstration
  • Design and develop novel computer vision and/or machine learning algorithms in areas such as: real-time scene and object tracking (e.g. face tracking, body tracking, key point estimation), depth sensing, 3D stereo and volumetric reconstruction, 2D / 3D medical imaging segmentation, deriving biomarkers from medical imaging such as CT scans, X-Ray, MRI, etc.
  • Collaborate with internal or external teams in acquiring, storing, organizing, annotating, versioning and processing large amounts of data needed for training computer vision and machine learning models
  • Design algorithm evaluation frameworks, schedule and report algorithm, AI/ML model, and system performance regularly.
  • Document and present progress in algorithm design, development, and evaluation (requirements/design/architecture/bugs/tests).

What You Will Need:
Required Qualifications:
  • Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering, Mathematics, Statistics, or related field AND 2 years of industry experience
  • OR Master's/PhD Degree in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering, Mathematics, Statistics
  • Strong understanding of medical imaging modalities such as CT, MRI, X-ray, ultrasound, fluoroscopy, angiography or endoscopy, including common artifacts, acquisition variability, and clinical workflow constraints
  • Experience with medical imaging data formats and standards, including DICOM, NIfTI, PACS workflows, metadata handling, and image anonymization
  • Skilled in at least one programming language used in Computer Vision (e.g. Python and/or C++)

Preferred Qualifications:
  • Experience with common AI/ML tools and frameworks such as PyTorch, PyTorch-Lightning, Tensorflow/keras, OpenCV, pandas, scikit-learn, MLFlow, ONNX, cloud (one of AWS/GCP/Azure), docker container.
  • Experience in designing and training and deploying production-grade deep learning architectures for computer vision applications with a broad under-standing of latest CV / DL methods and literature.

  • $116,100 - $193,400 USD Annual

Travel Percentage: 10%
Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.
Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.