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Imaging Scientist Jobs in Silver Spring, MD (NOW HIRING)

Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial Science, Applied Mathematics, Computer Science, or a related technical field. * Minimum of 8-12 years ...

Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial Science, Applied Mathematics, Computer Science, or a related technical field. * Minimum of 8-12 years ...

Bachelor's degree in Remote Sensing, Imaging Science, Physics, Electrical Engineering, Geospatial Science, Applied Mathematics, Computer Science, or a related technical field. * Minimum of 8-12 years ...

This cluster hiring aims to recruit scholars with expertise in the interdisciplinary fields of biomedical imaging, artificial intelligence, and data science. While the Department of Radiology ...

This cluster hiring aims to recruit scholars with expertise in the interdisciplinary fields of biomedical imaging, artificial intelligence, and data science. While the Department of Radiology ...

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Imaging Scientist information

See Silver Spring, MD salary details

$69.5K

$113.9K

$131.4K

How much do imaging scientist jobs pay per year?

As of Aug 25, 2026, the average yearly pay for imaging scientist in Silver Spring, MD is $113,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,494.00 and $126,300.00 per year, depending on experience, location, and employer.

What does an imaging scientist do?

An Imaging Scientist specializes in developing, analyzing, and improving imaging technologies used in fields like medical imaging, remote sensing, and scientific research. They work with imaging systems, algorithms, and processing techniques to enhance image quality and extract meaningful data. Their role often involves research, software development, and collaboration with engineers and domain experts to optimize imaging solutions for various applications.

What are the key skills and qualifications needed to thrive as an imaging scientist?

To thrive as an Imaging Scientist, you need a strong background in physics, mathematics, and computer science, often evidenced by an advanced degree in a relevant field. Proficiency in imaging software (such as MATLAB, ImageJ, or Python-based tools), as well as experience with imaging hardware and data analysis techniques, is essential. Strong analytical thinking, problem-solving abilities, and effective teamwork and communication skills set successful candidates apart. These competencies are crucial for developing innovative imaging solutions, interpreting complex data, and collaborating effectively within multidisciplinary research or clinical teams.

What are the most commonly searched types of Imaging Scientist jobs in Silver Spring, MD?

The most popular types of Imaging Scientist jobs in Silver Spring, MD are:

What are popular job titles related to Imaging Scientist jobs in Silver Spring, MD?

For Imaging Scientist jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Imaging Scientist jobs in Silver Spring, MD look for?

The top searched job categories for Imaging Scientist jobs in Silver Spring, MD are:

Infographic showing various Imaging Scientist job openings in Silver Spring, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $113,908 per year, or $54.8 per hour.

Post-Doctoral Position - Translational Imaging

Baltimore, MD • On-site


University of Maryland, Baltimore
Colleges, Universities, and Professional Schools • 1 - 5K employees

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

263rd of 622 rated colleges and universities

People enjoy working here

Good employer

Respectful managers


$48K - $66K/yr

Full-time

Re-posted 16 days ago


Job description

Job Description
Description: Applicants are invited to fill a postdoctoral research fellow position within the Translational Imaging Group of the Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine in Baltimore. The selected candidate will work on federally funded projects associated with neuroimaging of traumatic brain injury and other neurodegenerative disorders including neuromodulation using image-guided focused ultrasound. The candidate will work within a multi-disciplinary research group for preclinical imaging with opportunity to gain a variety of translational research skills, including advanced image processing, data analysis, and novel imaging techniques, such as MRguided Focus Ultrasound. Opportunities also exist to learn about clinical research as translation of pre-clinical research to the clinic is one of the main charters of this group.
Requirements: The qualified candidate will have a Ph.D. degree from an accredited university in biomedical engineering, electrical engineering, neuroscience with interest in imaging sciences or related field. The successful candidate will be self-driven, strongly motivated researcher with knowledge of MR physics. Working knowledge of computer languages (e.g. Matlab) and statistical analysis software for imaging processing of structural and functional MRI data (e.g., SPM, FSL, ImageJ) are highly desirable. Experience in performing small animal imaging is also desirable.
The Core for Translational Research in Imaging @ Maryland (C-TRIM) within the Department of Diagnostic Radiology & Nuclear Medicine provides comprehensive imaging services for both pre-clinical and human imaging. The small animal MRI facilities available include three Bruker Biospin MRI scanners (3T, 7T, and 9.4T) and the human imaging services include Siemens Prisma 3T, Siemens mMR Biograph 3T PET/MR system and a GE Discovery 750w 3T system.
Interested candidates should send an email to Rao Gullapalli, Ph.D ( ) with a cover letter highlighting key qualifications and experience, current CV and contact information for three referees.
Qualifications
The qualified candidate will have a Ph.D. degree from an accredited university in biomedical engineering, electrical engineering, neuroscience with interest in imaging sciences or related field. The successful candidate will be self-driven, strongly motivated researcher with knowledge of MR physics. Working knowledge of computer languages (e.g. Matlab) and statistical analysis software for imaging processing of structural and functional MRI data (e.g., SPM, FSL, ImageJ) are highly desirable. Experience in performing small animal imaging is also desirable.


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