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Mri Python Jobs in California (NOW HIRING)

Staff Research Associate II

Los Angeles, CA · On-site

$31.21 - $50.21/hr

Prior experience with MRI data acquisition or neuroimaging research. * Experience with data analysis tools (e.g., R, Python, MATLAB). * Familiarity with neuroimaging software (e.g., FSL, FreeSurfer ...

Sr. Data Analyst

San Diego, CA · Hybrid

$91K - $115K/yr

PowerBI * Python and SQL coding * Understanding data, database structure, ETL processes ... Strong understanding of cloud applications (Kintone, MRI, and Raiser's Edge are their 3 ...

Sr. Data Analyst (San Diego, CA)

San Diego, CA · Hybrid

$91K - $115K/yr

PowerBI Python and SQL coding Understanding data, database structure, ETL processes Understanding ... Nice to have Skills Strong understanding of cloud applications (Kintone, MRI, and Raiser's Edge are ...

Sr. Data Analyst (San Diego, CA)

San Diego, CA · On-site

$91K - $115K/yr

PowerBI * Python and SQL coding * Understanding data, database structure, ETL processes ... Strong understanding of cloud applications (Kintone, MRI, and Raiser's Edge are their 3 ...

Project Assistant

Los Angeles, CA · On-site

$25.96 - $33/hr

Some knowledge of MATLAB, python, or bash scripting. * Some experience with MRI or PET analysis. Major duties include analysis and quality control of structural brain images or amyloid and tau PET ...

Strong understanding of medical imaging modalities such as CT, MRI, X-ray, ultrasound, fluoroscopy ... Python and/or C++) Preferred Qualifications: * Experience with common AI/ML tools and frameworks ...

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Mri Python information

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.
What cities in California are hiring for Mri Python jobs? Cities in California with the most Mri Python job openings:
Senior Scientist / Head of Informatics for Women's Brain Health Initiative in the Psychological &...

Senior Scientist / Head of Informatics for Women's Brain Health Initiative in the Psychological &...

University of California Santa Barbara

Santa Barbara, CA • On-site

Other

Posted 22 days ago


University Of California Santa Barbara rating

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

173rd of 535 rated colleges and universities


Job description

Position description
The Bowers Women's Brain Health Initiative (WBHI) seeks a Senior Data Analyst / Head of Informatics to lead and scale the consortium's data science and neuroinformatics infrastructure. This individual will oversee data management, quality control, and analytic pipeline development for large-scale MRI and multimodal datasets across federally and privately funded studies.
This position is designed for a scholar who can build reproducible, scalable workflows while fostering a collaborative, open-science culture. The successful candidate will work closely with PIs, trainees, and research coordinators to ensure that WBHI's data ecosystem is rigorous, secure, and future-facing.
This role offers the opportunity to shape the informatics backbone of a growing research consortium focused on advancing women's brain health across the lifespan.
Informatics Leadership & Strategy
Develop and oversee WBHI's data architecture and informatics strategy across multiple grants and study sites.
Establish best practices for data governance, documentation, harmonization, and reproducibility.
Lead the design and implementation of scalable, modular analytic pipelines for structural, functional, and diffusion MRI, as well as multimodal data (e.g., clinical, behavioral, multi-omics).
Guide decisions around computing infrastructure (local HPC, cloud platforms, containerization).
Data Management & Quality Control
Implement standardized data ingestion, organization (e.g., BIDS-compliant), and version control systems.
Oversee automated and manual quality control (QC) pipelines for MRI and related datasets.
Develop dashboards or reporting tools for monitoring data completeness, QC metrics, and study progress.
Ensure compliance with institutional, federal, and sponsor data security and sharing requirements.
Pipeline Development & Advanced Analytics
Build and maintain reproducible workflows using tools such as Python, R, Bash, Docker/Singularity, Git, and workflow engines (e.g., Snakemake, Nextflow).
Integrate established neuroimaging tools (e.g., FSL, FreeSurfer, AFNI, ANTs, fMRIPrep, QSIPrep) into standardized processing streams.
Support advanced modeling approaches including network analysis, multivariate methods, machine learning, and longitudinal modeling.
Contribute to data harmonization across multi-site studies and large consortia datasets.
Team Building & Mentorship
Supervise data analysts and research staff as the informatics team grows.
Train students, postdocs, and staff in best practices for data management and reproducible research.
Foster a collaborative, transparent, and open-science culture aligned with leading neuroinformatics groups.
Partner with investigators on grant applications, including drafting data management and analysis plans.
Collaboration & Dissemination
Contribute intellectually to manuscripts, conference presentations, and grant proposals.
Engage with national and international neuroimaging and data science communities.
Promote open science principles, including code sharing, documentation, and reproducible workflows.
Qualifications
Basic qualifications (required at time of application)
-PhD in neuroscience, bioinformatics, biomedical engineering, statistics, computer science, or related field.
Additional qualifications (required at time of start)
-5+ years of experience working with neuroimaging data (structural MRI, fMRI, diffusion MRI).
One or more years of Demonstrated expertise in:
Python and/or R
Unix/Linux environments
Workflow automation and pipeline development
Version control (Git)
Preferred qualifications
-Excellent communication skills.
-Proven ability to manage complex datasets across multiple projects.
-Experience leading or contributing to large-scale neuroimaging initiatives or consortia.
-Familiarity with multimodal integration (e.g., imaging + clinical + hormonal + genetics).
-Experience with cloud computing platforms (e.g., AWS, GCP) and containerization.
-Background in longitudinal modeling or machine learning applications in neuroimaging.
-Experience supervising technical staff or trainees.
-Experience implementing BIDS standards and MRI quality control workflows.
-Strong understanding of reproducible research principles and computational best practices.
Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter
  • Samples of Scholarly Work - 1-3 samples of published, in print, submitted, or in-preparation scholarly work (article, book chapter, book, writing sample, etc.). - co-authorship on peer-reviewed publications

Reference requirements
  • 3 required (contact information only)

References for finalist(s) may be contacted by phone/email after interviews.
Apply link: https://recruit.ap.ucsb.edu/JPF03071
Help contact: pamelawilks@ucsb.edu
About UC Santa Barbara
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy for Employees, students and third parties
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Additionally, you will be required to comply with the University of California Policy on Vaccination Programs , as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
Job location
Remote or Santa Barbara, CA