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Mri Python Jobs (NOW HIRING)

Northwestern University

MRI Technologist

Chicago, IL · On-site

$34.40 - $53.75/hr

MRI Tech manages daily operations of MRI scanners. Responsible for all aspects related to MRI ... bash, python, C) and/or system administration Experience with neuroimaging data processing and ...

BANDANA

MRI Engineer

Manhattan, NY · On-site

$57.79/hr

Computer programming expertise in Matlab and Python, and C++ (required) * Outstanding attention to detail and strong analytical and interpersonal skills. * Planning and prioritizing work to meet ...

MRI Technologies

Research Software Engineer

Houston, TX · On-site

$195K/yr

MRI Technologies has an exciting opportunity for a Research Software Engineer on the JETS II ... Experience integrating C++, Fortran, Python, and shell-based workflows in HPC or simulation ...

MRI Technologies

Research Software Engineer

Houston, TX · On-site

$195K/yr

MRI Technologies has an exciting opportunity for a Research Software Engineer on the JETS II ... Experience integrating C++, Fortran, Python, and shell-based workflows in HPC or simulation ...

MRI Technologies

Orion GN&C Engineer

Houston, TX · On-site

MRI Technologies has an exciting opportunity for an Orion Guidance, Navigation, and Control (GN&C ... Experience with LINUX, Python, MATLAB, Simulink, and C/C++ * Experience with Git/GitLab version ...

MRI Technologies

Research Software Engineer

Houston, TX · On-site

$195K/yr

MRI Technologies has an exciting opportunity for a Research Software Engineer on the JETS II ... integrating C++, Fortran, Python, and shell-based workflows in HPC or simulation ...

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How much do mri python jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for mri python in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is an MRI Python developer?

An MRI Python developer is a professional who specializes in using the Python programming language to work with Magnetic Resonance Imaging (MRI) data. They typically develop software tools and scripts for processing, analyzing, and visualizing MRI scans, often for research, medical imaging, or diagnostic purposes. Their work may involve using specialized Python libraries such as NiBabel, Nipype, or PyTorch for image analysis and machine learning applications in neuroimaging or radiology. MRI Python developers often collaborate with researchers, radiologists, and data scientists to facilitate the interpretation of complex imaging data.

What is the difference between Mri Python vs Mri Technician?

AspectMri PythonMri Technician
Required CredentialsProgramming skills, certifications in Python, possibly healthcare ITRadiologic technologist certification, ARRT registration
Work EnvironmentSoftware development, healthcare IT settings, research labsHospitals, imaging centers, clinics
Employer & Industry UsageHealthcare IT companies, research institutionsMedical facilities, diagnostic imaging providers

While Mri Python involves programming and software development skills used in healthcare IT and research, Mri Technicians focus on operating MRI machines and patient care in clinical settings. Both roles are essential in the MRI field but serve different functions and require distinct qualifications.

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

To thrive as an MRI Python developer, you need a strong background in Python programming, image processing, and a solid understanding of MRI physics or medical imaging concepts, typically supported by a degree in computer science, biomedical engineering, or a related field. Familiarity with technical tools such as NumPy, SciPy, NiBabel, and specialized MRI analysis packages like FSL or SPM, as well as experience with data visualization and version control systems, is highly valuable. Attention to detail, problem-solving abilities, and effective communication skills are crucial soft skills for collaborating with multidisciplinary teams and interpreting complex data. These combined skills ensure the development of accurate, efficient software solutions for advanced MRI data analysis and contribute to high-quality research or clinical outcomes.

How does an MRI Python developer typically collaborate with radiologists and data scientists in a healthcare setting?

MRI Python developers often work closely with radiologists and data scientists to design, implement, and optimize software tools for processing and analyzing MRI images. Collaboration involves translating clinical needs into technical requirements, developing image processing pipelines, and ensuring data integrity and compliance with healthcare standards. Regular meetings and code reviews help align software solutions with research and diagnostic goals, fostering a multidisciplinary environment that advances both technical and clinical outcomes.
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Mri Python jobs near you
Infographic showing various Mri Python job openings in the United States as of August 2026, with employment types broken down into 2% Internship, 87% Full Time, 3% Part Time, and 8% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

MRI Technical Engineer

Sapsol Technologies Inc

Rochester, MN • On-site

Contractor

Re-posted 9 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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