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Biomedical Image Processing Jobs in California (NOW HIRING)

TechData Service Company LLC

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Scientist II - histology image analysis - 37218960

Alameda, CA · On-site

$34 - $44/hr

Develop and optimize image analysis pipelines for 2D and 3D biomedical images. * Perform quantitative analysis of histology, IHC, IF, and multiplex imaging data. * Apply classical image processing ...

Jj

Staff Image Quality Engineer

Santa Clara, CA

Develop and prototype image processing algorithms for endoscopic video and work with cross ... Minnium B.S. in Electrical Engineering, Computer Science/Engineering, Biomedical Engineering ...

Apple

AI/ML Computer Vision Algorithm Engineer

Cupertino, CA · On-site

$137K - $162K/yr

Applied Mathematics, Physics or Biomedical Engineering) and a minimum of 3 years relevant industry experience Knowledge of image processing, computer vision and machine learningProgramming skills in ...

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Biomedical Image Processing information

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$15

$28

$38

How much do biomedical image processing jobs pay per hour?

As of Jun 9, 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 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.
Biomedical Image Processing jobs near you
Infographic showing various Biomedical Image Processing job openings in California as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $58,556 per year, or $28.2 per hour.
Sr Image Processing & Computer Vision Engineer (MedTech, ophthalmology, or precision imaging doma...

Sr Image Processing & Computer Vision Engineer (MedTech, ophthalmology, or precision imaging doma...

Lorven Technologies

Dublin, CA • On-site

$117K - $161K/yr

Full-time

Posted 6 days ago

Job description

Role: Sr Image Processing & Computer Vision Engineer (MedTech, ophthalmology, or precision imaging domain)
Location: Plano TX / Dublin CA
We are seeking a highly experienced Senior Image Processing & Computer Vision Engineer with 8-10 years of industry experience, preferably within the MedTech, ophthalmology, or precision imaging domain (e.g., ZEISS, Leica, or similar).
The ideal candidate will lead advanced imaging algorithm development, own end-to-end computer vision pipelines, and collaborate closely with product and hardware teams to deliver cutting-edge medical imaging solutions.
Required Qualifications
  • Bachelor's/Master's/PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Applied Physics, or related fields.
  • 8-10 years of hands-on industry experience in image processing and computer vision.
  • Strong expertise in:
  • Image processing fundamentals (filters, transforms, reconstruction)
  • Deep learning (CNNs, U-Nets, Vision Transformers)
  • Geometric vision, 3D reconstruction, and calibration
  • Classical CV (feature extraction, registration, tracking)
  • Proficiency in:
  • Python, C++, OpenCV, MATLAB
  • Deep learning frameworks (PyTorch or TensorFlow)
  • GPU programming (CUDA, TensorRT preferred)
  • Experience with medical imaging technologies (preferred but not mandatory):
  • Ophthalmic imaging (OCT, fundus)
  • Microscopy
  • Radiology modalities (CT/MRI/X-ray/Ultrasound)
  • Optical systems and image formation concepts

Preferred Experience
  • Prior experience with companies like ZEISS, Leica, Topcon, Canon Medical, or similar imaging-focused MedTech organizations.
  • Experience working in regulated environments (FDA, CE, ISO standards).
  • Knowledge of MLOps or model deployment on edge devices.
  • Strong mathematical foundation in linear algebra, optimization, and signal processing.
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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