ZipRecruiter

Log In

1

Mri Diffusion Scientist Jobs (NOW HIRING)

Saxon Global

MRI Technical Engineer

Cincinnati, OH · On-site

... 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 ...

next page

Showing results 1-20

People also search for

All JobsMri Diffusion Scientist Jobs

Mri Diffusion Scientist information

See salary details

$36.5K

$79.4K

$137.5K

How much do mri diffusion scientist jobs pay per year?

As of Jun 5, 2026, the average yearly pay for mri diffusion scientist in the United States is $79,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $93,000.00 per year, depending on experience, location, and employer.

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

To thrive as an MRI Diffusion Scientist, you need advanced knowledge in physics, biomedical engineering, or a related field, often supported by a PhD and experience in diffusion MRI theory and analysis. Familiarity with MRI scanners, image processing software (such as FSL, SPM, or MRtrix), and programming languages like Python or MATLAB is typically required. Strong analytical thinking, problem-solving, and effective communication skills help in collaborating with multidisciplinary teams and presenting research findings. These skills are essential for developing innovative imaging techniques, ensuring accurate data interpretation, and advancing scientific research in neuroimaging or clinical applications.

What are some common challenges faced by MRI Diffusion Scientists when developing new imaging protocols?

MRI Diffusion Scientists often encounter challenges such as minimizing motion artifacts, optimizing signal-to-noise ratios, and balancing scan time with image quality when developing new protocols. They must also ensure protocols are safe for patients and compatible with the MRI hardware and software. Collaboration with radiologists, technologists, and physicists is crucial to troubleshoot issues, validate new techniques, and implement protocols that meet clinical or research requirements.

What are MRI diffusion scientists?

MRI diffusion scientists are specialized researchers or technologists who focus on the development, optimization, and application of diffusion MRI techniques. Diffusion MRI is a type of magnetic resonance imaging that tracks the movement of water molecules in tissues, which is especially useful for studying brain connectivity, white matter integrity, and detecting abnormalities such as stroke or tumors. These scientists work in clinical, academic, or industrial settings and contribute to advancing imaging methods, analyzing complex data, and supporting neurological and medical research.
MRI Technical Engineer

MRI Technical Engineer

Sapsol Technologies Inc

Rochester, MN • On-site

Contractor

Posted 27 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.

Apply