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How much do mri python jobs pay per hour?

As of Sep 7, 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.

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.

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.

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.

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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 1% Internship, 91% Full Time, 3% Part Time, and 5% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Post-Doctoral Fellowship in Multi-Parametric MRS

The Chronicle Of Higher Education, Inc.

Baltimore, MD • On-site

$57.13 - $69.83/hr

Other

Medical, Life, Retirement

Posted 5 days ago

Job description

Johns Hopkins University: School of Medicine: Department of Radiology and Radiological Science: Magnetic Resonance Research. This post‑doctoral fellowship offers a three‑year contract for a researcher to develop open‑source methods for advancing multi‑parametric MR spectroscopy, including novel acquisition and analysis techniques for clinical 3 T MRI systems and applications in healthy aging research.

Salary: $63,480.

Key Responsibilities
  • Assess biochemical profiles across the age range:
    • Scan healthy volunteers (20–80 years) at 3 T MRI.
    • Analyze multi‑parametric MRS data in Osprey.
  • Develop and implement analysis methods for multi‑parametric MRS in Osprey:
    • Advance existing, in‑house analysis methods for multi‑parametric MRS.
    • Develop novel approaches for 2D linear‑combination modeling.
    • Contribute novel developments to the Osprey MRS toolbox.
  • Test and validate developed methods on the available MRI scanners, including:
    • Two custom‑built low‑field MRI systems (0.26 T and 0.35 T).
    • A commercial prototype 50 mT Halbach scanner.
  • Collaborate with other researchers in the division, external collaborators, or Osprey users.
Qualifications
  • Ph.D. in Physics, Medical Physics, Biomedical Engineering, Neuroscience, Computer Science, or a related field.
  • Strong background in MR physics, including pulse sequence design, image reconstruction, and signal processing.
  • Interest in deep learning techniques applying machine learning to medical imaging.
  • Experience with MR spectroscopy is highly desirable.
  • Strong programming skills in MATLAB, Python, or similar.
  • Ability to work independently as well as in a collaborative research environment.
Benefits

Johns Hopkins offers a total rewards package that supports employees' health, life, career, and retirement. For more information, visit the Johns Hopkins benefits site.

Equal Employment Opportunity Statement

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or other legally protected characteristics. The University is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors or demographically irrelevant characteristics that are not relevant to the role.

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