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Biomedical Image Processing Jobs (NOW HIRING)

DeepSight Technology

Image Analysis Engineer

Seattle, WA · On-site

$160K - $250K/yr

S. in Electrical/Biomedical Engineering • 7+ years industry experience in medical imaging product development • Expertise in ultrasound physics and system design, signal and image processing ...

DeepSight Technology

Image Analysis Engineer

Seattle, WA · On-site

$160K - $250K/yr

S. in Electrical/Biomedical Engineering • 7+ years industry experience in medical imaging product development • Expertise in ultrasound physics and system design, signal and image processing ...

Novel Microdevices

Biomedical Engineer

Baltimore, MD · On-site

Job Title: Biomedical Engineer Location: 101 W Dickman St, Suite 300, Baltimore, MD 21230 ... time image processing, and cloud-integrated data solutions to empower healthcare professionals ...

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Biomedical Image Processing information

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How much do biomedical image processing jobs pay per hour?

As of Jun 8, 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.

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 May 2026, with employment types broken down into 1% Internship, 15% Full Time, 81% Part Time, and 3% Temporary. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $59,333 per year, or $28.5 per hour.
Computational Image Analysis Scientist - 2D/3D Biomedical Imaging

Computational Image Analysis Scientist - 2D/3D Biomedical Imaging

Astrix Inc

Ridgefield, CT • On-site

$39 - $42/hr

Contractor

Posted 21 days ago

Job description

Our client is a global, research-driven pharmaceutical manufacturer focusing on treatment options for diseases and conditions for which there is no satisfactory treatment option to date. The company is looking for a Computational Image Analysis Scientist - 2D/3D Biomedical Imaging to join the team. This is an amazing opportunity to work on cutting edge treatments and make a difference!
Job Title: Computational Image Analysis Scientist - 2D/3D Biomedical Imaging
Pay rate: $39/hr.- $42/hr.
Location: Ridgefield, CT
Job type: 2-year contract
Position Summary
We are seeking a Computational Image Analysis Scientist to develop, optimize, and apply advanced image analysis workflows for 2D and 3D biomedical imaging data. The role focuses on quantitative analysis of histology, immunohistochemistry (IHC), immunofluorescence (IF), and multiplex imaging datasets to support biomarker discovery, translational research, and preclinical/clinical studies.
The ideal candidate combines strong programming and machine learning expertise with hands-on experience in digital pathology and a collaborative mindset for working with multidisciplinary scientific teams.
Key Responsibilities
  • Develop, implement, and optimize image analysis pipelines for 2D and 3D biomedical imaging datasets
  • Perform quantitative analysis of histology, IHC, IF, and multiplex imaging (mIF) data
  • Apply classical image processing and machine learning methods for:
    • Image segmentation
    • Feature extraction
    • Cell detection and classification
  • Analyze and quantify spatial biology and cellular phenotypes from tissue imaging data
  • Integrate and work across digital pathology platforms including:
    • HALO AI
    • Visiopharm
    • QuPath
    • CellProfiler
  • Collaborate closely with pathologists, biologists, and data scientists to define analytical endpoints and experimental design
  • Validate image-derived biomarkers and ensure scientific and analytical rigor
  • Document workflows to ensure reproducibility and regulatory-grade traceability
  • Support interpretation, visualization, and presentation of imaging-derived data for scientific reports and publications
  • Enable cross-lab collaboration through transfer of image analysis workflows and algorithms

Required Qualifications
  • Bachelor's degree with 3+ years of experience, or Master's degree in a relevant scientific discipline (or equivalent experience)
  • Strong proficiency in Python and/or R for scientific computing and data analysis
  • Demonstrated experience in machine learning applied to image data
  • Hands-on experience with digital pathology or biomedical image analysis
  • Experience working with H&E, IHC, and multiplex immunofluorescence (mIF) datasets
  • Proven ability to perform cell segmentation, classification, and marker quantification
  • Experience using at least one digital pathology or image analysis platform (e.g., HALO, Visiopharm, QuPath, CellProfiler)
  • Strong problem-solving skills and ability to work independently in a research-driven environment

Preferred Qualifications
  • Experience in tumor immunology, histopathology, or spatial biology
  • Prior experience in biotech, pharmaceutical, or industry research environments
  • Familiarity with advanced spatial or multiplex imaging technologies

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