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Diffusion Mri Jobs (NOW HIRING)

Sapsol Technologies Inc

Program Engineer

Nashville, TN · On-site

Need project/program management skills with basic SW and MRI understanding (preferred) Our customer is trying to develop some SW related to 2 MRI workstreams namely oscillating gradient diffusion ...

Sapsol Technologies Inc

Program Engineer

Rochester, MN · On-site

Need project/program management skills with basic SW and MRI understanding (preferred) Our customer is trying to develop some SW related to 2 MRI workstreams namely oscillating gradient diffusion ...

Sapsol Technologies Inc

Medical Engineer

Nashville, TN · On-site

This role supports the development, integration, and validation of advanced MRI methods across two research workstreams: * Oscillating Gradient Diffusion (OGSE/OGD) in collaboration with Vanderbilt ...

Sapsol Technologies Inc

Medical Engineer

Nashville, TN · On-site

Role Summary This role supports the development, integration, and validation of advanced MRI methods across two research workstreams: * Oscillating Gradient Diffusion (OGSE/OGD) in collaboration with ...

Sapsol Technologies Inc

Medical Engineer

Rochester, NY · On-site

This role supports the development, integration, and validation of advanced MRI methods across two research workstreams: * Oscillating Gradient Diffusion (OGSE/OGD) in collaboration with Vanderbilt ...

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How much do diffusion mri jobs pay per week?

As of Jul 4, 2026, the average weekly pay for diffusion mri in the United States is $2,120.87, according to ZipRecruiter salary data. Most workers in this role earn between $1,605.77 and $2,596.15 per week, depending on experience, location, and employer.

What are some common challenges faced when analyzing diffusion MRI data, and how can they be addressed in a clinical or research setting?

A common challenge in diffusion MRI roles is dealing with data quality issues, such as motion artifacts, low signal-to-noise ratio, and image distortions, which can impact the accuracy of diffusion metrics. Addressing these challenges often involves careful preprocessing, including motion correction, eddy current correction, and artifact removal using specialized software tools. Collaborating with radiologists, physicists, and data scientists is essential for troubleshooting and optimizing imaging protocols. Staying updated on the latest advancements in diffusion modeling and processing methods can also help ensure reliable and reproducible results.

What is Diffusion MRI?

Diffusion MRI (Magnetic Resonance Imaging) is a specialized imaging technique that measures the diffusion of water molecules within tissues, especially in the brain. This method helps visualize and map white matter tracts and detect abnormalities like stroke, tumors, or neurodegenerative diseases. Diffusion MRI is widely used in neuroscience research and clinical diagnosis because it provides critical insights into the structure and connectivity of the brain. It is non-invasive and offers high-resolution images, making it essential for both research and medical applications.

What is the difference between Diffusion Mri vs MRI Technologist?

AspectDiffusion MriMRI Technologist
CredentialsRequires specialized training in diffusion imaging techniquesRequires ARRT certification and radiologic technology degree
Work EnvironmentOperates MRI scanners focusing on diffusion imaging for research or diagnosisPerforms a variety of MRI scans in hospitals or clinics
Industry UsageUsed mainly in neuroimaging and research settingsUsed across multiple medical specialties for diagnostic imaging

Diffusion MRI is a specialized imaging technique focusing on the movement of water molecules in tissues, often used in neurological assessments. MRI Technologists operate MRI machines for various imaging procedures. While Diffusion MRI requires specific technical knowledge, MRI Technologists have broader imaging responsibilities. Both roles are essential in medical imaging but differ in scope and specialization.

What are the key skills and qualifications needed to thrive as a Diffusion MRI Specialist, and why are they important?

To thrive as a Diffusion MRI Specialist, you need a strong background in medical imaging, physics, and anatomy, often supported by a degree in radiologic technology, biomedical engineering, or a related field. Proficiency with MRI scanners, specialized diffusion imaging software, and familiarity with data analysis tools like MATLAB or FSL is essential. Attention to detail, problem-solving skills, and effective communication are vital for collaborating with clinicians and interpreting complex imaging data. These skills ensure accurate acquisition, processing, and interpretation of diffusion MRI scans, which are crucial for high-quality patient care and research outcomes.
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Diffusion Mri jobs near you
Infographic showing various Diffusion Mri job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 60% Full Time, 13% Part Time, and 26% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $110,285 per year, or $53 per hour.
MRI Technical Engineer

MRI Technical Engineer

Sapsol Technologies Inc

Cincinnati, OH

Contractor

Posted 26 days ago

Job description

Role Summary

This role supports the development, integration, and validation of advanced MRI methods across two research workstreams:

  • Oscillating Gradient Diffusion (OGSE/OGD) in collaboration with Vanderbilt University, and
  • FLORETbased UTE imaging (nonCartesian) in collaboration with Cincinnati Children's Hospital.

The engineer will coordinate program execution while contributing technically to pulse sequence implementation, image reconstruction and software refinement, and data processing within the Philips MRI research environment. The emphasis is on program oversight, technical coordination, and collaborative execution, rather than independent subjectmatter leadership in diffusion MRI or FLORET.

Note: This role focuses on technical engagement and delivery. It does not include clinical trial operations or regulatory ownership.

Core Responsibilities

A) Technical Development - Pulse Sequence (OGSE/OGD)

  • Refine and extend existing OGSE pulse sequence code in the Philips research environment.
  • Implement additional features, improve robustness, and ensure correct sequence functionality.
  • Support deployment and onscanner integration on Philips MRI systems.
  • Contribute to related data processing and image reconstruction workflows when required.

B) Image Reconstruction & Software Development (FLORET / NonCartesian)

  • Implement and validate nonCartesian MRI reconstruction pipelines (including those supporting FLORET UTE acquisitions).
  • Support software deployment and integration of reconstruction tools within Philips research systems.
  • Refine reconstruction workflows, add new features, and improve system interfaces and usability.
  • Perform data validation and quality checks; evaluate reconstruction stability and artifact behavior.

C) Experimental Collaboration & Validation

  • Coordinate experiment planning with Vanderbilt researchers, Cincinnati Children's teams, and clinical MRI staff.
  • Support execution of scanner experiments as needed.
  • Assist with validation of OGSE and FLORET acquisition outputs through systematic testing and comparative analysis.
  • Prepare technical validation summaries/reports and ensure outputs align with program deliverables and milestones.
  • Document results, assumptions, and change histories with strong discipline.

Qualifications

Required

  • Strong familiarity with vendorspecific MRI pulse sequence programming (preferably Philips research environments).
  • Solid foundations in MRI reconstruction, including nonCartesian methods, and software engineering.
  • Handson experience with C++ / Python / MATLAB for algorithm and tooling development.
  • Ability to collaborate effectively across industry and academic partners; clear written and verbal communication.
  • Proven ability to operate under hardware constraints and in structured, sprintbased execution models.

Preferred

  • Master's or PhD in MRI Physics, Biomedical Engineering, Medical Physics, Electrical Engineering, Computer Science, or related field.
  • Experience with Philips MRI research environments (e.g., research interfaces, integration workflows).
  • Exposure to OGSE/OGD diffusion methods and/or FLORET UTE imaging (deep expertise not required).
  • Experience with MRI data processing, QA/QC, and validation workflows.

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