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Internship Computational Imaging Scientist Jobs (NOW HIRING)

Kitware's computational imaging team uses traditional and non-traditional image sensors in novel ... PhD in Computer Science, Electrical Engineering, Optics, or related field * Strong publication ...

About the Team You will join our expert Computational Imaging team, where we develop sophisticated ... D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related ...

Kitware's computational imaging team uses traditional and non-traditional image sensors in novel ... PhD in Computer Science, Electrical Engineering, Optics, or related field * Strong publication ...

Kitware's computational imaging team uses traditional and non-traditional image sensors in novel ... PhD in Computer Science, Electrical Engineering, Optics, or related field * Strong publication ...

Kitware's computational imaging team uses traditional and non-traditional image sensors in novel ... PhD in Computer Science, Electrical Engineering, Optics, or related field * Strong publication ...

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Internship Computational Imaging Scientist information

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$50.5K

$111.3K

$137.5K

How much do internship computational imaging scientist jobs pay per year?

As of Aug 3, 2026, the average yearly pay for internship computational imaging 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 are the key skills and qualifications needed to thrive as an internship computational imaging scientist, and why are they important?

To thrive as an Internship Computational Imaging Scientist, you typically need a background in computer science, electrical engineering, or a related field with knowledge of image processing, algorithms, and mathematics. Familiarity with programming languages such as Python or MATLAB, and experience using libraries like OpenCV or TensorFlow, are commonly required, along with coursework or certifications in computational imaging. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings effectively are important soft skills. These competencies enable effective development, analysis, and communication of imaging solutions within research or industry teams.

What does an internship computational imaging scientist do?

An Internship Computational Imaging Scientist assists in developing and applying advanced computational techniques to process and analyze images. This role often involves working with large datasets, using programming languages like Python or MATLAB, and collaborating with senior scientists to solve imaging problems in fields such as biomedical imaging, computer vision, or microscopy. Interns may help design algorithms, conduct experiments, and interpret results to support new imaging technologies. The position offers hands-on experience in both research and practical applications of computational imaging.

What types of projects does an internship computational imaging scientist typically work on, and how do these projects contribute to larger team goals?

As an Internship Computational Imaging Scientist, you’ll often work on projects such as developing new image processing algorithms, optimizing data acquisition techniques, or assisting in the design of computational pipelines for imaging applications. These projects are usually part of broader research or product development efforts and directly support the team’s goals of advancing imaging technology and providing actionable insights from complex data. You’ll frequently collaborate with senior scientists, engineers, and sometimes clinicians or product managers, gaining exposure to multidisciplinary teamwork and real-world problem-solving.

What is the difference between Internship Computational Imaging Scientist vs Research Scientist in Computational Imaging?

AspectInternship Computational Imaging ScientistResearch Scientist in Computational Imaging
CredentialsEnrolled in or recent graduate of relevant degree (e.g., computer science, engineering)Advanced degree (Master's or PhD) often preferred
Work EnvironmentInternship programs, collaborative research labs, industry or academiaFull-time research roles in academia, industry, or research institutions
Employer & Industry UsageTech companies, startups, research labs focusing on imaging techUniversities, research institutes, industry R&D departments
Search & Comparison IntentEntry-level, learning-focused roles, internshipsAdvanced research, development, and innovation roles

The main difference is that an Internship Computational Imaging Scientist is an entry-level, temporary position aimed at gaining experience, while a Research Scientist in Computational Imaging is a full-time, often advanced role focused on conducting independent research and development in the field.

More about Internship Computational Imaging Scientist jobs
What cities are hiring for Internship Computational Imaging Scientist jobs? Cities with the most Internship Computational Imaging Scientist job openings:
What are the most commonly searched types of Computational Imaging Scientist jobs? The most popular types of Computational Imaging Scientist jobs are:
What states have the most Internship Computational Imaging Scientist jobs? States with the most job openings for Internship Computational Imaging Scientist jobs include:
What job categories do people searching Internship Computational Imaging Scientist jobs look for? The top searched job categories for Internship Computational Imaging Scientist jobs are:
Infographic showing various Internship Computational Imaging Scientist job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 65% Full Time, 31% Part Time, and 1% Contract. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.

Senior Computational Imaging Scientist -- Image Restoration & ML (San Francisco)

GLASS Imaging

San Francisco, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

A cutting-edge imaging technology company is seeking a Computational Imaging Research Scientist in San Francisco. In this role, you'll develop state-of-the-art image and video restoration algorithms, work on optimizing machine learning models, and collaborate with engineers to advance camera technology. Candidates should have a strong foundation in mathematics, experience in computational imaging, and a master’s or doctorate in a relevant field.
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