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Neuroimaging Data Analyst Jobs (NOW HIRING)

Familiarity with common software packages for neuroimaging and/or microscopy data analysis and visualization (e.g., FreeSurfer, FSL, ImageJ) * Familiarity with at least one machine learning / deep ...

Responsibilities include neuroimaging data processing, statistical modeling, predictive analytics, scientific communication, and the development of reproducible pipelines and documentation. This role ...

Specific activities may include managing/preprocessing/analyzing behavioral and neuroimaging data, collecting new data (e.g., behavioral task, fMRI, digital phenotyping via mobile phone, wearables ...

... neuroimaging data analysis Company : LVIS is a leader in cutting edge neural information analysis technologies that can decode brain networks and find cures for neurological diseases. Founded in ...

Research Scientist

Palo Alto, CA · On-site

$120K - $140K/yr

Experience with signal source localization or neuroimaging data analysis Benefits Salary Range * Expected base salary range: $120,000 - $140,000 annually. * Actual compensation may vary based on ...

Yes Position Purpose To assist in management of lab related organization and the collection and analysis of human behavioral and neuroimaging data in the Computational Social Affective Neuroscience ...

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Neuroimaging Data Analyst information

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$82.6K

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How much do neuroimaging data analyst jobs pay per year?

As of May 30, 2026, the average yearly pay for neuroimaging data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a Neuroimaging Data Analyst job?

A Neuroimaging Data Analyst processes, analyzes, and interprets brain imaging data from techniques like MRI, fMRI, and PET. They develop and apply computational methods to extract meaningful insights from neuroimaging studies, often working with neuroscientists, clinicians, and researchers. Their role involves scripting, statistical analysis, and data visualization to support research on brain function, structure, and disorders. Proficiency in programming languages like Python, MATLAB, or R, as well as experience with neuroimaging software (e.g., FSL, SPM, AFNI), is typically required.

What are the key skills and qualifications needed to thrive in the Neuroimaging Data Analyst position, and why are they important?

To thrive as a Neuroimaging Data Analyst, you need a solid background in neuroscience, statistics, and data science, often supported by a relevant degree in neuroscience, biomedical engineering, or a related field. Expertise with neuroimaging software (such as SPM, FSL, or AFNI), programming languages like Python or MATLAB, and familiarity with MRI, fMRI, or PET data formats are typically required. Excellent problem-solving skills, attention to detail, and the ability to communicate complex findings clearly are valuable soft skills for this role. These competencies are essential for accurately processing and interpreting neuroimaging data, supporting impactful research, and facilitating collaboration within multidisciplinary research teams.

What does a typical day look like for a Neuroimaging Data Analyst working within a research team?

A typical day for a Neuroimaging Data Analyst involves preprocessing raw neuroimaging data, running analyses using specialized software, and collaborating with researchers to interpret and visualize results. You might spend part of your day writing scripts, troubleshooting data quality issues, or attending meetings to discuss research project goals and timelines. The role often includes maintaining detailed documentation of data workflows and ensuring all processes align with established scientific and ethical standards. Regular interaction with neuroscientists, clinicians, and other data specialists is common, making teamwork and communication vital aspects of daily work.
What cities are hiring for Neuroimaging Data Analyst jobs? Cities with the most Neuroimaging Data Analyst job openings:
What are the most commonly searched types of Neuroimaging Data Analyst jobs? The most popular types of Neuroimaging Data Analyst jobs are:
What states have the most Neuroimaging Data Analyst jobs? States with the most job openings for Neuroimaging Data Analyst jobs include:
What job categories do people searching Neuroimaging Data Analyst jobs look for? The top searched job categories for Neuroimaging Data Analyst jobs are:
Infographic showing various Neuroimaging Data Analyst job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Contract. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Post-Doctoral Associate

$61.01K - $65K/yr

Full-time

Medical, Dental, Life

Posted 24 days ago


Job description

About the Job
 

The Center for Developmental Neuroimaging (CDNI) is seeking a postdoctoral fellow to join our team at the University of Minnesotas Masonic Institute for the Developing Brain (MIDB) under the direction of Dr. Julia Moser. This position will focus on infant neuroimaging projects.

CDNI is housed at the Masonic Institute for the Developing Brain at the University of Minnesota. Our work focuses on advancing the understanding of brain development in health and disease. We are an interdisciplinary team of researchers trying to:

  • Understand basic principles of brain functioning across development (i.e. figure out how the brain works).
  • Learn about how neuropsychiatric and other brain-based disorders develop and progress over time.
  • Contribute to the prevention and treatment of brain-based disorders.
  • Engage underrepresented communities in all aspects of academic medicine and research.

To learn more about CDNI and current research studies, please visit the website: https://innovation.umn.edu/developmental-cognition-and-neuroimaging-lab/

The scholar will be able to draw on world-class neuroimaging facilities and training at the Center for Magnetic Resonance Research (CMRR), including ultra- high resolution 7T imaging. Our group is strongly committed to professional development and personalizing the postdoc experience. We encourage applications from diverse candidates and are committed to creating an inclusive and supportive research environment.
Job Responsibilities 
Data Analysis and Publication (50%)

  • Test hypothesis around developmental plasticity metrics derived from functional MRI data.
  • Investigate developmental differences in infant brain functional networks. 
  • Support generation and testing of improvements for code bases for the analysis of precision imaging datasets using supercomputing cluster resources.
  • Support students and trainees involved in infant data processing and analysis.
  • Present novel discoveries at international conferences.
  • Publish research findings in peer reviewed journals.
  • Pursue your own research interests within the broader theme of the position.

Data Acquisition Methods and Practice (40%)

  • Support staff involved in infant neuroimaging projects.
  • Supervise students involved in infant neuroimaging projects.
  • Support the PI with analysis of data from different data acquisition techniques to inform best practices for infant fMRI data acquisition.
  • Support implementation of novel motor task paradigm for infant neuroimaging.
  • Lead documentation efforts for infant neuroimaging techniques to promote standardization across study members.

Other Lab Duties (10%)

  • Attend mandatory center, lab and team meetings.
  • Share feedback and assist other lab members when they are stuck on a project.
  • Collegial conduct towards trainees, staff members and members of the research group.
  • Adherence to all applicable University policies, procedures and regulations. All data, research records and materials and other intellectual property generated in University laboratories remain the property of the University.
  • Collaborate with a diverse team of researchers, including the PI, graduate students, postdoctoral fellows and other trainees.
Qualifications
 

All required qualifications must be documented on application materials.

Required Qualifications

  • PhD in neuroscience, psychology, cognitive science, or a related field.
  • Strong experience in neuroimaging data acquisition, analysis, and interpretation.
  • Proven ability to work independently and as part of a team.
  • Excellent communication, writing, and presentation skills.
  • Prior experience working with infants and children in a research setting.

Preferred Qualifications

  • Experience in analysis of infant brain imaging data.
  • Experience in the acquisition of infant neuroimaging data.
  • Enthusiasm for exploring new research directions in collaboration with the PI.
About the Department
 

The Masonic Institute for the Developing Brain (MIDB) is dedicated to fostering the healthy brain function of children across the lifespan with the mission to set and maintain a healthy trajectory for all children toward positive life outcomes through early neurobehavioral and mental health assessment, innovative targeted interventions, informed policy-making, compassionate child-advocacy, and community education. The MIDBs mission of basic and clinical research in the field of neurobehavioral development is supported by its Neuroimaging core, which fosters collaborations within departments at the University of Minnesota and across institutions to build teams with the highest possible degree of expertise.

Pay and Benefits
 

Pay Range: $61,008-$65,000; depending on education/qualifications/experience

Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training
  • Medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and life insurance
  • Employee wellbeing program
  • Financial counseling services
  • Employee Assistance Program with eight sessions of counseling at no cost
How To Apply
 

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

Diversity
 

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu

Employment Requirements
 

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About University of Minnesota
 

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of Americas Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).