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Biomedical Image Processing Jobs in California (NOW HIRING)

Hyperfine

Clinical Scientist

Palo Alto, CA · Hybrid

$134K - $155K/yr

Basic understanding of MRI physics, signal acquisition, reconstruction and image processing ... PhD or equivalent degree in biomedical engineering, neuroscience, imaging science, or related field ...

Hyperfine

Clinical Scientist

Palo Alto, CA · On-site +1

$134K - $155K/yr

Basic understanding of MRI physics, signal acquisition, reconstruction and image processing ... PhD or equivalent degree in biomedical engineering, neuroscience, imaging science, or related field ...

MiniMed

Principal Biomedical Engineer

Los Angeles, CA · On-site

Leads advanced statistical analysis and data-driven investigations to support sensor process ... Familiarity with or hands-on experience in image-based analytics or computer vision methods as ...

USC Gould School of Law

Research Engineer

Los Angeles, CA · On-site

$89K - $99K/yr

... biomedical imaging, computer vision, Generative AI and ensemble integration of artificial intelligence methods, statistics and image processing. * Experience working with large-scale neuroimaging and ...

Vivodyne

AI Senior Scientist

San Francisco, CA · On-site

... trends in Generative AI, biomedical imaging, cloud computing, and data-intensive training ... Demonstrated history of success with image processing and large-scale model training. * Technical ...

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All JobsBiomedical Image Processing JobsBiomedical Image Processing Jobs in California

Biomedical Image Processing information

See California salary details

$15

$28

$38

How much do biomedical image processing jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for biomedical image processing in California is $28.15, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $31.78 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in biomedical image processing, and how can they be addressed?

Professionals in biomedical image processing often encounter challenges such as dealing with noisy or low-quality images, managing large datasets, and ensuring compliance with data privacy regulations. Addressing these issues typically involves using advanced image enhancement algorithms, collaborating with data scientists and clinicians to validate findings, and staying updated on data security best practices. Regular training and cross-functional team meetings can help in overcoming technical and regulatory hurdles, while contributing to a collaborative and innovative work environment.

What jobs pay 500,000 a year in the US?

In the field of biomedical image processing, high-paying roles such as senior research scientists, lead engineers, or chief technology officers can reach or exceed $500,000 annually, especially in large biotech or pharmaceutical companies. These positions typically require advanced degrees, extensive experience, and expertise in machine learning, imaging algorithms, and software development. Compensation at this level often includes bonuses, stock options, or profit sharing.

What is biomedical image processing?

Biomedical image processing is the application of computational techniques to analyze and interpret images from biological and medical sources, such as MRI, CT scans, X-rays, and microscopic images. The goal is to enhance, segment, and extract meaningful information from these images to assist in medical diagnosis, research, and treatment planning. Professionals in this field use algorithms and software tools to improve image quality, detect abnormalities, and quantify biological structures, ultimately aiding healthcare professionals in making more accurate decisions.

What medical imaging job pays the most?

In biomedical image processing, senior roles such as imaging research scientists or lead biomedical engineers tend to have the highest salaries, often exceeding $100,000 annually. These positions typically require advanced skills in image analysis, programming, and experience with medical imaging tools like MRI or CT scanners.

Is ML a high paying job?

Machine learning (ML) roles, including those in biomedical image processing, are generally well-paid due to the high demand for specialized skills in data analysis, programming, and algorithms. Salaries vary based on experience, education, and location, but professionals with expertise in ML and related tools like Python or TensorFlow often earn above average industry wages.

What is the difference between Biomedical Image Processing vs Medical Imaging Technician?

AspectBiomedical Image ProcessingMedical Imaging Technician
Required CredentialsDegree in biomedical engineering, computer science, or related field; knowledge of imaging softwareCertification in radiologic technology; associate or bachelor's degree in radiography
Work EnvironmentResearch labs, hospitals, medical device companiesHospitals, clinics, diagnostic imaging centers
Industry UsageDevelops algorithms, enhances images, analyzes medical dataOperates imaging equipment, captures diagnostic images
Common Search/ComparisonFocuses on image processing and analysis techniquesFocuses on image acquisition and patient positioning

Biomedical Image Processing involves developing and applying algorithms to analyze and enhance medical images, often working in research or software development settings. In contrast, Medical Imaging Technicians operate imaging equipment to capture diagnostic images directly from patients. While both roles work within the medical imaging industry, their responsibilities, credentials, and work environments differ significantly.

What kind of jobs in media bring in $150,000 a year?

In media, high-paying roles such as senior video directors, media executives, or specialized digital content managers can earn $150,000 or more annually. These positions often require extensive experience, advanced skills in editing, production, or digital platforms, and may involve leadership responsibilities or working in large organizations.

What are the key skills and qualifications needed to thrive as a Biomedical Image Processing Specialist, and why are they important?

To excel in Biomedical Image Processing, a solid background in biomedical engineering, computer science, or a related field, along with experience in image analysis and signal processing, is essential. Familiarity with programming languages (such as Python or MATLAB), image processing libraries (like OpenCV or ITK), and possibly certifications in medical imaging technologies are typically required. Attention to detail, problem-solving skills, and effective communication help professionals interpret complex data and collaborate with multidisciplinary teams. These competencies are crucial for developing accurate diagnostic tools and advancing medical research through reliable image analysis.
Biomedical Image Processing jobs near you
Infographic showing various Biomedical Image Processing job openings in California as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $58,556 per year, or $28.2 per hour.
Clinical Scientist

Clinical Scientist

Hyperfine

Palo Alto, CA • Hybrid

$134K - $155K/yr

Other

Posted 19 days ago

Job description

About Us

Hyperfine, Inc. (Nasdaq: HYPR) is the groundbreaking health technology company that has redefined brain imaging with the Swoop system-the first FDA-cleared, portable, ultra-low-field, magnetic resonance brain imaging system capable of providing imaging at multiple points of care in a healthcare facility. Our mission is to revolutionize patient care globally through transformational, accessible, clinically relevant diagnostic imaging. Learn More

About The Role

Job Title: Clinical Scientist 

Location: Palo Alto, CA

As a Clinical Scientist, you will support the Clinical Affairs team in executing clinical programs aligned with Hyperfine's strategic priorities. You will work closely with cross-functional teams including imaging, regulatory, marketing, and external research sites to generate clinical evidence, enable research programs, and translate data into impactful outputs. 

You will be responsible for contributing to clinical study design, supporting study execution, and extracting actionable insights from clinical data to inform publications and business strategy. You will collaborate with clinical partners to optimize imaging workflows and enable use cases across hospital, office-based, and international settings. 

RESPONSIBILITIES: 

  • Support the design and execution of clinical studies aligned with Hyperfine strategic priorities  
  • Assist in defining study objectives, endpoints, and data strategies to support clinical evidence generation 
  • Partner with clinical sites to enable research protocols and optimize imaging workflows   
  • Support study startup activities, including IRB submissions and coordination with internal teams  
  • Monitor study progress, track milestones, and support execution of research service agreements (RSAs) 
  • Analyze clinical datasets and translate findings into publications, abstracts, and presentations 
  • Collaborate with clinical partners to develop manuscripts and support dissemination of scientific outputs 
  • Support engagement with external sites and investigators as the MRI expert to align research efforts with company strategy 
  • Work cross-functionally with marketing, regulatory, legal, and imaging teams to support clinical and business objectives  
  • Contribute to partner-driven programs (e.g., externally funded collaborations) by tracking deliverables and identifying opportunities 

KNOWLEDGE AND SKILL: 

  • Strong understanding of clinical research processes and study design principles 
  • Basic understanding of MRI physics, signal acquisition, reconstruction and image processing techniques 
  • Ability to analyze and interpret clinical datasets and generate actionable insights 
  • Strong written and verbal communication skills, including ability to contribute to scientific publications 
  • Ability to translate clinical needs into research objectives and actionable deliverables 
  • Strong organizational skills and ability to manage multiple projects simultaneously 
  • Ability to work collaboratively across cross-functional teams and external partners 
  • Analytical mindset with attention to detail and problem-solving capabilities 
  • Adaptability in a fast-paced, evolving clinical and technical environment 

EDUCATION/EXPERIENCE REQUIRED: 

  • PhD or equivalent degree in biomedical engineering, neuroscience, imaging science, or related field 
  • 2-5+ years of experience in clinical research, imaging, or data science in industry setting 
  • Experience working with MRI data and imaging datasets required 
  • Hands-on experience with image processing, analysis tools (e.g., Python, MATLAB, or similar) preferred 
  • Experience contributing to clinical studies and publications preferred 

PHYSICAL DEMANDS: 

  • Ability to work on a computer for extended periods 
  • Ability to travel occasionally to clinical sites 
  • Ability to operate in a fast-paced work environment
  • This is a hybrid position based out of Hyperfine's facility in Palo Alto, CA (minimum 3 days per week). 
  • Travel up to 10% of the time to customers, other Hyperfine offices, collaborators, conferences, etc.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship now or in the future of any employment Visa.

The annual base salary for this position is between $134,000 - $155,000. This position is also eligible for to participate in Hyperfine's corporate bonus and equity plans. Individual compensation packages are based on various factors unique to each candidate including skill set, relevant experience, qualifications, location, position level, and other job-related reasons.

Agency Resumes: We do not accept resumes from recruitment agencies without a prior agreement in place. Any unsolicited resumes submitted by agencies will be considered the property of Hyperfine and will not be subject to any fees or charges if the candidate is hired.

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