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Mri Python Eeg Jobs (NOW HIRING)

Proficiency in Python and/or MATLAB is required. * Demonstrated ability to debug technical problems ... Familiarity with fNIRS, EEG, MRI, or other neuroimaging modalities is preferred. * Experience ...

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How much do mri python eeg jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for mri python eeg 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 the difference between Mri Python Eeg vs Neuroimaging Data Analyst?

AspectMri Python EegNeuroimaging Data Analyst
Required CredentialsTypically requires a degree in neuroscience, psychology, or related field; proficiency in Python, EEG, MRI analysisUsually holds a degree in neuroscience, data science, or related; skills in neuroimaging tools and data analysis
Work EnvironmentResearch labs, hospitals, universities focusing on neuroimaging and EEG studiesResearch institutions, healthcare, or academic settings analyzing neuroimaging datasets
Employer & Industry UsageResearch projects involving MRI, EEG, and Python programmingData analysis of neuroimaging data across clinical and research settings

While both roles involve neuroimaging data, Mri Python Eeg specialists focus on processing MRI and EEG data using Python, often in experimental research. Neuroimaging Data Analysts may work more broadly with various neuroimaging datasets, emphasizing data analysis and interpretation across multiple modalities.

How do professionals in MRI Python EEG roles typically collaborate with multidisciplinary teams during research projects?

In MRI Python EEG roles, collaboration with multidisciplinary teams is essential, as projects often involve neuroscientists, radiologists, data scientists, and engineers. Professionals are expected to communicate technical findings clearly, integrate feedback from various experts, and often translate complex Python code or EEG/MRI data analyses into actionable insights for team members with diverse backgrounds. Regular meetings, shared documentation, and collaborative coding platforms (like Git) are commonly used to ensure effective teamwork. This collaborative environment not only fosters innovation but also provides valuable learning opportunities across different domains.

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

To excel as an MRI Python EEG Specialist, you need a strong background in neuroscience or biomedical engineering, expertise in MRI and EEG acquisition, and proficiency in Python programming for data analysis. Familiarity with neuroimaging software (such as SPM or FSL), EEG analysis tools (like EEGLAB or MNE-Python), and relevant certifications are highly beneficial. Critical thinking, attention to detail, and strong problem-solving abilities help you manage complex data and collaborate effectively with research teams. These skills are crucial for producing accurate research findings, ensuring data integrity, and advancing scientific understanding in brain research.

What is an MRI Python EEG specialist?

An MRI Python EEG specialist is a professional who combines expertise in MRI (Magnetic Resonance Imaging), EEG (Electroencephalography), and Python programming. They typically work in neuroscience or medical imaging, using Python to process and analyze data from MRI and EEG scans. Their role may involve developing software tools, automating data analysis pipelines, and interpreting brain imaging results to support clinical or research objectives. This multidisciplinary skill set is valuable in both academic and healthcare settings, helping to advance our understanding of brain function and disorders.
Research Engineer

Research Engineer

Vanderbilt University

Nashville, TN • On-site

Full-time

Posted 13 days ago


Vanderbilt University rating

7.8

Company rating: 7.8 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

192nd of 534 rated colleges and universities


Job description

Job Description
The Bowden Lab at Vanderbilt University is seeking a highly capable research staff member to support the development, validation, and deployment of wearable functional near-infrared spectroscopy (fNIRS) technologies for neuroimaging research. This role is ideal for someone who enjoys working across hardware, software, human-subject study execution, and project coordination. In addition to direct technical work, this person will help keep multiple projects moving by coordinating timelines, tracking milestones, improving documentation, and supporting communication across collaborators, trainees, and lab projects. This is a Full-time research staff position. Initial appointment length is flexible and may be renewable depending on performance and funding.
We are especially interested in candidates who are not only technically strong, but who can also help keep systems and projects together: keeping devices working, identifying weak points early, documenting workflows, improving usability, following up on open tasks, and helping research move forward reliably across multiple funded efforts. Applicants are encouraged to submit figures, photos, GitHub links, schematics, or similar files with their application demonstrating relevant technical work. A brief statement of interest and references are also desired.
Project Areas Supported
  • Wearable fNIRS for reading and neuroadaptive intervention, including instrumentation, array design, data quality optimization, real-time processing, and repeated-session human studies.
  • Wearable fNIRS platform development for mental health research, including variable-intensity
    electronics, AR-guided positioning, enclosure/conformity updates, signal quality validation, and
    comparison against reference instrumentation.
  • Additional laboratory projects requiring technical coordination, experiment planning, documentation,
    milestone tracking, and support for funded work across the lab.

Vanderbilt University is a globally-recognized research institution committed to advancing knowledge and improving lives through discovery, innovation, and interdisciplinary collaboration. The role is based within Vanderbilt's Bowden Biomedical Optics Lab, run by Professor Audrey Bowden in the Department of Biomedical Engineering.
Duties and Responsibilities
  • Build, test, debug, and maintain wearable optical/electronic neuroimaging hardware.
  • Support prototype iteration, including electronics integration, enclosure/interface refinement, and bench validation.
  • Develop and maintain software for data acquisition, quality control, preprocessing, visualization, and experiment support.
  • Assist with real-time or near-real-time processing pipelines and decision logic for adaptive experiments.
  • Support human-subject studies, including setup, instrumentation, troubleshooting, documentation, and data quality tracking.
  • Create and maintain clear technical documentation, SOPs, and onboarding materials for others in the lab.
  • Help coordinate project timelines, milestones, dependencies, and deliverables across multiple projects.
  • Track action items and follow-up needs across collaborators, trainees, and lab personnel so that work does not stall.
  • Contribute to figures, methods, technical reports, progress updates, and manuscripts as appropriate.

Supervisory Relationships: This position does not have supervisory responsibility; this position reports administratively and functionally to the lab PI.
Qualifications
  • Bachelor's or Master's degree in biomedical engineering, electrical engineering, computer engineering, physics, neuroscience engineering, or a related field is required.
  • Strong hands-on experience with at least some combination of sensing systems, electronics, embedded systems, instrumentation, signal processing, or scientific software is required.
  • Proficiency in Python and/or MATLAB is required.
  • Demonstrated ability to debug technical problems systematically is required.
  • Strong organizational skills, attention to detail, and ability to keep complex workstreams moving is required.
  • Ability to work independently while coordinating across interdisciplinary collaborators is required.
  • Experience with wearable sensing or neurotechnology is preferred.
  • Experience with optical systems, photodiodes, light sources, biomedical instrumentation, or physiological signal acquisition is preferred.
  • Experience with PCB/system bring-up, embedded communication, or hardware-software integration is preferred.
  • Experience with computer vision, UI development, or AR-guided workflows is preferred.
  • Experience supporting human-subject experiments is preferred.
  • Familiarity with fNIRS, EEG, MRI, or other neuroimaging modalities is preferred.
  • Experience serving in a project-management or operations-support role in a research environment is preferred.

About Us
At Vanderbilt University , our work - regardless of title or role - is in service to an important and noble mission in which every member of our community serves in advancing knowledge and transforming lives on a daily basis. Located in Nashville, Tennessee, on a 330+ acre campus and arboretum dating back to 1873, Vanderbilt is proud to have been named as one of "America's Best Large Employers" as well as a top employer in Tennessee and the Nashville metropolitan area by Forbes for several years running. We welcome those who are interested in learning and growing professionally with an employer that strives to create, foster and sustain opportunities as an employer of choice.
We understand you have a choice when choosing where to work and pursue a career. We understand you are unique and have a story. We want to hear it. We encourage you to apply today so that you might become a part of our story.
Vanderbilt University 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, or status as a protected veteran, or any other characteristic protected by law.

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