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Biomedical Engineering Assistant Jobs in California

Generate technical reports and present findings to cross-functional teams. Assist with technology ... Chemical Engineering Biochemistry Biology Biotechnology Biomedical Engineering Biochemical ...

Quality Engineering Analyst

Alameda, CA · On-site

$55 - $60/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Biomedical Engineering, or * Related Engineering Discipline Preferred Certifications * ASQ ... Document investigative findings and support regulatory compliance requirements. * Assist with ...

New

The main objective of this role is to collect motion data on the DaVinci system, assist with ... Bachelor's degree in a relevant field (e.g., biomedical engineering, data science, robotics, etc)

Showing results 41-60

Biomedical Engineering Assistant information

What is a biomedical engineering assistant?

Biomedical engineering assistants support biomedical engineers in designing, developing, and maintaining medical equipment and devices. They may be involved in assembling prototypes, testing new technologies, and ensuring equipment complies with safety standards. These assistants often work in hospitals, research labs, or manufacturing companies, collaborating with engineers, scientists, and healthcare professionals. Their role is crucial in improving healthcare technology and ensuring patient safety.

What jobs can I get with an associate's in biomedical engineering?

An associate's degree in biomedical engineering can qualify you for roles such as biomedical technician, medical equipment preparer, or laboratory assistant. These positions often involve maintaining and repairing medical devices, supporting clinical staff, and working in healthcare or research environments, sometimes requiring knowledge of CAD software or basic electronics.

What are some typical challenges faced by biomedical engineering assistants when supporting multidisciplinary teams?

Biomedical Engineering Assistants often work closely with clinicians, engineers, and technical staff to ensure medical devices and equipment function safely and effectively. One common challenge is bridging the communication gap between technical and medical professionals, which requires clear explanations and adaptability. Additionally, managing multiple tasks such as equipment maintenance, troubleshooting, and documentation under time constraints can be demanding. However, these challenges also provide valuable opportunities to develop strong problem-solving and teamwork skills.

What is the difference between Biomedical Engineering Assistant vs Biomedical Technician?

AspectBiomedical Engineering AssistantBiomedical Technician
Required CredentialsAssociate's or Bachelor's degree in biomedical engineering or related fieldAssociate's degree or certification in biomedical equipment technology
Work EnvironmentResearch labs, hospitals, medical device companiesHospitals, clinics, medical equipment service centers
Employer & Industry UsageResearch institutions, medical device firms, healthcare facilitiesHospitals, medical equipment manufacturers, service providers

Biomedical Engineering Assistants typically support research and development, working closely with engineers on designing and testing medical devices. Biomedical Technicians focus on maintaining, repairing, and calibrating medical equipment in clinical settings. While both roles require technical knowledge and certifications, their daily tasks and work environments differ, with assistants more involved in engineering support and technicians in equipment maintenance.

What are the key skills and qualifications needed to thrive as a biomedical engineering assistant, and why are they important?

To thrive as a Biomedical Engineering Assistant, you need a solid foundation in biology, engineering principles, and mathematics, usually supported by a relevant associate's or bachelor's degree. Familiarity with laboratory and diagnostic equipment, CAD software, and compliance standards like FDA regulations is often required. Strong problem-solving, attention to detail, and teamwork skills help you excel in supporting engineers and healthcare professionals. These competencies ensure the safe, effective development and maintenance of medical devices crucial for patient care.

What are the most commonly searched types of Biomedical Engineering jobs in California?

The most popular types of Biomedical Engineering jobs in California are:

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

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

What cities in California are hiring for Biomedical Engineering Assistant jobs?

Cities in California with the most Biomedical Engineering Assistant job openings:

Infographic showing various Biomedical Engineering Assistant job openings in California as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 2% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

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

University of California, San Francisco

San Francisco, CA • On-site

Full-time

Posted 24 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

229th of 618 rated colleges and universities


Job description

Application Window
Open date: July 22, 2026
Most recent review date: Thursday, Aug 6, 2026 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Saturday, Jan 22, 2028 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position 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.
Please click here to apply with cover letter, CV, and contact information for three references.
Application Requirements
Document requirements
  • Cover Letter
  • Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
  • Statement of Research (Optional)

Reference requirements
  • 3 required (contact information only)

About UC San Francisco
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer.
• UC Sexual Violence and Sexual Harassment Policy
• UC Anti-Discrimination Policy
• APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
San Francisco, CA

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