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Biomedical Engineering Imaging Jobs in California

Trinity Health

Also, provides assistance and training to Biomedical Equipment Techs I and II as assigned. Provide ... Engineering. Strong communication and inter-personal skills are required to interact positively ...

Trinityhealth

Also, provides assistance and training to Biomedical Equipment Techs I and II as assigned. Provide ... Engineering. Strong communication and inter-personal skills are required to interact positively ...

Shifamed

Sr. Clinical Engineer

Campbell, CA · On-site

$125K - $150K/yr

... in Biomedical Engineering, Bioengineering, Mechanical Engineering, Electrical Engineering or related field. * 5-7 years of experience in similar role. * Medical robotics and medical imaging ...

Shifamed

Sr. Clinical Engineer

Campbell, CA · On-site

$125 - $150/hr

... in Biomedical Engineering, Bioengineering, Mechanical Engineering, Electrical Engineering or related field. * 5-7 years of experience in similar role. * Medical robotics and medical imaging ...

Shifamed

Sr. Clinical Engineer

Campbell, CA · On-site

$125K - $150K/yr

... in Biomedical Engineering, Bioengineering, Mechanical Engineering, Electrical Engineering or related field. * 5-7 years of experience in similar role. * Medical robotics and medical imaging ...

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Biomedical Engineering Imaging information

What is biomedical engineering imaging?

Biomedical engineering imaging is a specialized field that combines principles of engineering, biology, and medicine to develop and improve imaging technologies used in healthcare. These technologies include MRI, CT scans, ultrasound, and other diagnostic tools that help visualize the structure and function of tissues and organs inside the body. Biomedical imaging engineers work on designing, testing, and optimizing these systems to enhance diagnosis, treatment, and patient outcomes. They also contribute to research and innovation in medical imaging for both clinical and research applications.

What are the key skills and qualifications needed to thrive as a biomedical engineering imaging professional?

To thrive in Biomedical Engineering Imaging, you need a solid background in biomedical engineering, physics, and mathematics, typically with at least a bachelor's or master's degree in a related field. Familiarity with imaging software (such as MATLAB or ImageJ), medical imaging modalities (like MRI, CT, or ultrasound), and sometimes certifications such as CBET are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set candidates apart in collaborative and research-driven environments. These competencies are vital to ensure accurate imaging results, support technological advancements, and facilitate interdisciplinary teamwork in healthcare settings.

What are some common challenges faced by biomedical engineers specializing in imaging, and how can these be addressed in the workplace?

Biomedical engineers in imaging often encounter challenges such as keeping up with rapidly evolving technologies, ensuring compliance with regulatory standards, and effectively integrating new imaging equipment into existing clinical workflows. Collaborating closely with multidisciplinary teams—including clinicians, IT specialists, and technicians—helps address these challenges by fostering clear communication and shared problem-solving. Continuous professional development, attending trainings, and staying updated on industry best practices are also crucial for success in this dynamic field.

What is the difference between Biomedical Engineering Imaging vs Biomedical Equipment Technician?

AspectBiomedical Engineering ImagingBiomedical Equipment Technician
CredentialsBachelor's degree in biomedical engineering or related field; certifications like CBETAssociate's or bachelor's degree; certifications like CBET or BIET
Work EnvironmentHospitals, research labs, medical device companiesHospitals, clinics, service companies
Industry UsageDesign, development, and testing of imaging systemsMaintenance, repair, and calibration of medical equipment
Search/Comparison IntentUnderstanding roles in medical imaging developmentTechnical repair and maintenance of medical devices

Biomedical Engineering Imaging focuses on designing and developing medical imaging technologies, requiring engineering skills and research. In contrast, Biomedical Equipment Technicians primarily maintain and repair existing medical devices, emphasizing technical troubleshooting. Both roles are vital in healthcare but differ in responsibilities, work environment, and required credentials.

What are popular job titles related to Biomedical Engineering Imaging jobs in California?

For Biomedical Engineering Imaging jobs in California, the most frequently searched job titles are:

What job categories do people searching Biomedical Engineering Imaging jobs in California look for?

The top searched job categories for Biomedical Engineering Imaging jobs in California are:

Biomedical Engineering Imaging jobs near you
Infographic showing various Biomedical Engineering Imaging job openings in California as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Larson and Hope Labs - Junior/Assistant/Associate/Full Specialist

UCSF

San Francisco, CA • On-site

Other

Posted 29 days ago

University Of California San Francisco rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

232nd of 620 rated colleges and universities

Job description

Larson and Hope Labs – Junior/Assistant/Associate/Full Specialist

The Larson and Hope Labs are seeking a Junior, Assistant, Associate, or Full Specialist. This position focuses on the development and application of cutting-edge artificial intelligence methods for automated analysis of cancer imaging data, with an emphasis on integrating large language models (LLMs) with image-based segmentation and interpretation algorithms. A primary application will be segmentation and quantitative analysis of PSMA PET imaging in prostate cancer, with additional projects spanning radiology-based AI applications across modalities.

UCSF has led the clinical translation of PSMA PET imaging, and this position represents a key next step in developing advanced computational tools to maximize its clinical and research utility. The successful candidate will also benefit from active collaborations with multiple industry partners, providing exposure to translational and commercial development pipelines.

Responsibilities include:

  • Developing and validating deep learning models for medical image segmentation, with a focus on PSMA PET and broader radiology applications
  • Designing and implementing pipelines that integrate LLMs with image-based analysis algorithms for enhanced interpretation and reporting
  • Curating and managing large-scale cancer imaging datasets in collaboration with clinical and industry partners
  • Disseminating research findings through peer-reviewed publications, with target venues including Radiology: Artificial Intelligence, Journal of Nuclear Medicine, and IEEE Transactions on Medical Imaging and related IEEE journals
  • Contributing to grant applications and collaborative research projects across academic and industry settings

Required Qualifications:

  • Specialists appointed at the Junior rank must possess a baccalaureate degree (or equivalent degree) in computer science, electrical engineering, biomedical engineering, data science, or a closely related field, or at least four years of research experience.
  • Specialists appointed at the Assistant rank must possess a master's degree (or equivalent degree) or a baccalaureate degree (or equivalent degree) with three or more years of research experience.
  • Specialists appointed at the Associate rank must possess a master's degree (or equivalent degree) or five to ten years of research experience.
  • Specialists appointed at the Full rank must possess a terminal degree (or equivalent degree) or ten or more years of research experience.
  • Applicants must meet all the qualifications by the time of hire.
  • Applicant materials must list current and/or pending qualifications upon submission.

Preferred Qualifications:

  • Scientific Computing programming experience (e.g. MATLAB, Python)
  • Experience working with imaging datasets and image processing
  • Experience with high-performance computing environments, including Linux/Unix, and running algorithms on CPUs and GPUs
  • Deep learning frameworks, particularly Python and PyTorch
  • Medical image segmentation and computer vision model development
  • Large language models and multimodal AI architectures
  • Setting up and managing large imaging datasets
  • Strong written communication skills and a track record of, or clear enthusiasm for, first-author publication are essential
  • PhD in computer science, electrical engineering, biomedical engineering, data science, or a closely related field is strongly preferred

See Table 24B for the salary range for this position. A reasonable estimate for this position is $57,000-$201,700.

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