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Biomedical Image Processing Jobs (NOW HIRING)

Samsung HME America Inc

Senior Physicist

Danvers, MA · On-site

$150K - $175K/yr

Tune image processing algorithms to enhance image quality * Design suitable solutions to complex ... D. in Physics, Medical Physics, Biomedical Engineering, or similar discipline is required. * 5+ ...

Current Surgical Inc.

Senior R&D Engineer

San Francisco, CA · On-site

$123K - $169K/yr

This is a difficult hands-on engineering challenge that integrates biophysics, image processing ... This is a unique opportunity to work across many areas of a hardtech biomedical startup, including ...

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How much do biomedical image processing jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for biomedical image processing in the United States is $28.53, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $32.21 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.
What cities are hiring for Biomedical Image Processing jobs? Cities with the most Biomedical Image Processing job openings:
What states have the most Biomedical Image Processing jobs? States with the most job openings for Biomedical Image Processing jobs include:
Biomedical Image Processing jobs near you
Infographic showing various Biomedical Image Processing job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $59,333 per year, or $28.5 per hour.

Software Engineer

Current Surgical Inc.

San Francisco, CA • On-site

Full-time

Posted yesterday

New

Job description

About Current Surgical Inc.

Current Surgical is a startup company developing technology on the frontier of engineering and biology. Our first product is a smart microinvasive needle that precisely destroys tumors without damaging healthy tissue, allowing doctors to treat cancers that are untreatable today.

Our technology is backed by the National Institute of Health, National Science Foundation, and top tier venture capital firms (True Ventures, 1517, and SciFounders) interested in dramatically improving the accuracy and accessibility of surgery.

About you

We are looking for a software engineer who is excited to develop technology at the forefront of medical devices and precision surgery. You will have the opportunity to apply your skills across a number of projects, including working directly with the co-founders to design, develop, and test our clinical prototype; as well as architect and implement lab automation for ongoing experimentation and device testing. These are difficult hands-on engineering challenges that integrate biophysics, image processing, deep learning, novel electronics, ultrasound, and real-time signal processing that can only be solved with a tight-knit multidisciplinary team.

The ideal candidate is someone who is interested in working at a startup and is eager to challenge their technical development. This is a unique opportunity to work across many areas of a hardtech biomedical startup, including preclinical studies, interfacing with clinicians, device and tool development.

We are expecting you to be able to quickly develop tools (both internally and externally facing) and custom user interfaces as part of device prototyping and testing efforts. You will work closely with the mechanical, electrical, and research teams to achieve our fundamental clinical goals. As we grow, we envision this role growing into a leadership role.

Educational background

  • MS or BS in computer science or engineering, with 2+ years of equivalent work experience

  • PhD in the fields of electrical engineering, biomedical engineering, computer science, medical physics, and/or closely related fields also considered

Desired skills

  • Entrepreneurial, self-motivated, and independent; desire to grow technically

  • Excellent technical and analytical capability, coupled with strong written and verbal communication skills

  • Proficiency in Python, with experience in rapid prototyping

  • Experience with numeric analysis (numpy, scipy), image processing (opencv, scikit-image) and deep learning packages (pytorch)

  • Familiarity with user interface design and architectures (e.g., MVP, MVVP, MVC, Elm architecture), ideally with a focus on desktop applications

  • Familiarity with Qt in Python (PySide or PyQt)

  • Knowledge of Python or Matlab for processing test results and test and measurement automation

  • General knowledge of medical imaging (e.g. ultrasound, CT, MRI) and image guided surgery is a plus

  • Experience with ultrasound prototyping hardware is a plus (e.g., Verasonics, Cephasonics)

  • Experience applying image processing, computer vision, and/or deep learning techniques to medical images is a plus