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Biomedical Image Processing Jobs in California (NOW HIRING)

... a focus on image processing, image enhancement, and Phenomap embeddings. * Data Pipeline ... Familiarity with biological or biomedical imaging; advanced knowledge in multi-modal Phenomaps ...

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 ...

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 ...

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 ...

BMET II

Los Angeles, CA · On-site

$70K - $85K/yr

The Biomedical Engineer Technician II plays an expanded role in delivering safe, reliable imaging ... Demonstrate foundational PC competency (word processing, spreadsheets, databases) alongside ...

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

Showing results 21-40

Biomedical Image Processing information

See California salary details

$15

$28

$38

How much do biomedical image processing jobs pay per hour?

As of Aug 12, 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.

Is biomedical image processing in demand?

Biomedical image processing is in high demand due to its critical role in medical diagnostics, research, and treatment planning. Professionals with skills in image analysis, machine learning, and familiarity with tools like MATLAB or Python are sought after in healthcare and research institutions, with job growth expected to continue as medical imaging technology advances.

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 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 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 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.
Infographic showing various Biomedical Image Processing job openings in California as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $58,556 per year, or $28.2 per hour.

Project Scientist - Slomka Lab - Innovation in Imaging / Department of Medicine / Division of AIM

Cedars Sinai

Los Angeles, CA • On-site

$66K - $133K/yr

Full-time

Re-posted 12 days ago


Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

41st of 1,058 rated hospitals


Job description


Are you ready to be a part of breakthrough research? Take action now by applying to this great opportunity!
Cedars-Sinai offers scientists unparalleled access to ground breaking technologies, facilities, and resources for conducting research related to an impressive range of diseases and disorders, from cancer, cardiology, and digestive diseases, to genetics, genomics, neurosciences, and women's health. You can continue your career journey with us!
The Slomka Laboratory focuses on developing innovative methods for fully automated analysis of nuclear cardiology data using novel algorithms and machine learning techniques, and on the development of integrated motion-corrected analysis of positron emission tomography (PET)/computed tomography (CT) angiography imaging.
As a Project Scientist, you will work independently and in cooperation with Piotr Slomka, PhD, Director, Innovation in Imaging and Principal Investigator, as part of a medical imaging and artificial intelligence research team within the Department of Medicine, Division of Artificial Intelligence. The incumbent will make significant and creative contributions to NIH research projects. This position will lead current and future research projects related to PET image reconstruction. Highly specialized and technical expertise in scientific programming, medical imaging and machine learning methods is required to carry out designated research projects. The Project Scientist is a key member of the research team and is expected to collaborate effectively with faculty investigators, engineers and research staff to achieve project objectives.
Primary Duties and Responsibilities:
  • Develops and tests new image processing and software methods.
  • Develops and implements new research techniques, protocols and algorithms, and data analysis and interpretation including image reconstruction and deep learning techniques.
  • Participates in publications, scientific abstracts, and presentations as first author or co-author.
  • Presents research results at scientific meetings.
  • Participates in research and technical meetings and applies expertise to plan and develop new research projects and proposals.
  • Assists in the preparation of grant proposals of Senior Investigators.
  • Compiles, analyzes, interprets, and summarizes data.
  • May submit grant proposals independently, as approved by supervising Principal Investigator.
  • May lead or train Staff Research Associates and Research Fellows.

Qualifications
Education Requirements:
  • PhD in Computer Science or Biomedical Engineering or related field.

Experience and Skills:
  • Completion of postdoctoral scholar training.
  • Demonstrated significant, original or creative contributions to a research project or program.
  • Demonstrated scientific productivity in publications in peer-reviewed journals and/or grant submissions.
  • Knowledge of PI's area of research specialization.
  • Experience in medical imaging, image processing, image reconstruction, machine learning and/or computer vision.
  • Proficiency in mathematics, medical statistics, and 3D geometry.
  • Proficiency in scientific and numerical C++ or Python programming.
  • Basic system administration skills.
  • Strong analytical and problem-solving skills.
  • Excellent communication (written and verbal) skills.

Physical Demands:
Able to perform moderate lifting. Able to sit, stand and walk for prolonged periods of time. Able to read papers and online documents. Able to operate standard office equipment. Able to exercise physical ability and perspective acuity to satisfactorily perform essential job functions.
About Us
Cedars-Sinai is a leader in providing high-quality healthcare encompassing primary care, specialized medicine and research. Since 1902, Cedars-Sinai has evolved to meet the needs of one of the most diverse regions in the nation, setting standards in quality and innovative patient care, research, teaching and community service. Today, Cedars- Sinai is known for its national leadership in transforming healthcare for the benefit of patients. Cedars-Sinai impacts the future of healthcare by developing new approaches to treatment and educating tomorrow's health professionals. Additionally, Cedars-Sinai demonstrates a commitment to the community through programs that improve the health of its most vulnerable residents.
About the Team
Cedars-Sinai is one of the largest nonprofit academic medical centers in the U.S., with 915 licensed beds, 2,993 physicians, 4,700+ nurses and thousands of other healthcare professionals and staff. Choose this if you want to work in a fast-paced environment that offers the highest level of care to people in the Los Angeles that need our care the most.

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