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Entry Level Image Processing Scientist information

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$50.5K

$111.3K

$137.5K

How much do entry level image processing scientist jobs pay per year?

As of Jul 7, 2026, the average yearly pay for entry level image processing scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Image Processing Scientist vs Entry Level Computer Vision Engineer?

AspectEntry Level Image Processing ScientistEntry Level Computer Vision Engineer
Required CredentialsBachelor's in Computer Science, Electrical Engineering, or related field; knowledge of image processing algorithmsBachelor's in Computer Science, Electrical Engineering, or related field; familiarity with computer vision techniques
Work EnvironmentResearch labs, tech companies, healthcare, or automotive industriesTech companies, robotics, autonomous vehicles, surveillance systems
Employer & Industry UsagePrimarily in research and development roles focusing on image enhancement and analysisDeveloping real-time vision systems, object detection, and scene understanding

Both roles require similar educational backgrounds and work in related industries, but the Image Processing Scientist focuses more on image analysis and enhancement, while the Computer Vision Engineer emphasizes applying algorithms to develop real-time vision applications.

What are some typical projects and collaborative tasks an Entry Level Image Processing Scientist might work on in their first year?

As an Entry Level Image Processing Scientist, you can expect to work on projects such as developing algorithms for image enhancement, noise reduction, or object detection. You will likely collaborate closely with software engineers, data scientists, and sometimes hardware teams to integrate your solutions into larger systems. Early tasks often include preprocessing data, running experiments, and evaluating algorithm performance. Regular meetings and code reviews are common, helping you learn industry standards and best practices while building valuable teamwork skills.

What does an Entry Level Image Processing Scientist do?

An Entry Level Image Processing Scientist applies mathematical and computational techniques to analyze, enhance, and interpret digital images. They work with images from various sources such as cameras, satellites, or medical devices, using algorithms and programming to improve image quality or extract useful information. Typical tasks include data preprocessing, implementing image filters, designing and testing computer vision models, and supporting senior scientists in research projects. This role often requires knowledge of programming languages like Python or MATLAB, and familiarity with image processing libraries and tools.

What are the key skills and qualifications needed to thrive as an Entry Level Image Processing Scientist, and why are they important?

To thrive as an Entry Level Image Processing Scientist, you need a foundation in mathematics, computer science, and image processing concepts, typically supported by a bachelor’s or master’s degree in a relevant field. Proficiency with programming languages such as Python or MATLAB, familiarity with machine learning libraries (like OpenCV, TensorFlow, or PyTorch), and experience with image analysis tools are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help you excel in collaborating with teams and interpreting complex data. These skills are crucial for developing robust image processing solutions, ensuring accuracy, and working effectively within multidisciplinary environments.
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Entry Level Image Processing Scientist jobs near you

Image Quality Algorithm Developer

Monvik Info Solutions LLC

Waukesha, WI • On-site

$60 - $65/hr

Temporary

Posted 12 days ago

Job description

Rate $60 - $65/hr.

Image Quality Algorithm Developer specializing in medical imaging systems with expertise in applying engineering principles and scientific methods to develop, evaluate, and optimize image quality algorithms for CT and X-ray imaging platforms. Experienced in designing advanced image processing and reconstruction algorithms to enhance diagnostic image quality and system performance.
Skilled in data acquisition, calibration, modeling, and simulation to improve imaging accuracy and reliability. Proficient in utilizing MATLAB, Python, and C++ for algorithm development, performance analysis, and validation using both real and simulated datasets. Strong understanding of X-ray and CT physics, image reconstruction techniques, and signal processing fundamentals to support innovative medical imaging solutions.
Collaborates effectively with cross-functional local and global teams to design, implement, and deploy algorithmic solutions for next-generation imaging technologies. Adept at conducting feasibility studies, performance evaluations, and technical analysis to support new product development and technology introduction. Committed to staying current with advancements in imaging science, data science, and algorithm development to drive.