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Neuroimaging Data Scientist Jobs (NOW HIRING)

LVIS

Research Scientist

Palo Alto, CA · On-site

$120K - $140K/yr

Computer Science, Mathematics, Physics, Statistics * Minimum 5+ years in time-series data analysis ... Experience with signal source localization or neuroimaging data analysis Benefits Salary Range

NorthEastern

Postdoctoral Research Fellow

Boston, MA · On-site

$60K - $85K/yr

Specific activities may include managing/preprocessing/analyzing behavioral and neuroimaging data ... We especially encourage those from underrepresented groups in science to apply. Position Type ...

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Neuroimaging Data Scientist information

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How much do neuroimaging data scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for neuroimaging data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a neuroimaging data scientist?

A Neuroimaging Data Scientist is a professional who analyzes and interprets complex brain imaging data, such as MRI or PET scans, using statistical, computational, and machine learning techniques. They work at the intersection of neuroscience, data science, and computer programming to extract meaningful insights from neuroimaging datasets. Their work supports research into brain function, neurological diseases, and mental health, often collaborating with neuroscientists, clinicians, and software engineers. Neuroimaging Data Scientists typically require expertise in programming languages like Python or MATLAB, as well as knowledge of neuroimaging tools and data analysis pipelines.

What are the key skills and qualifications needed to thrive as a neuroimaging data scientist?

To thrive as a Neuroimaging Data Scientist, you need a strong background in neuroscience, computer science, and statistics, often supported by an advanced degree in a related field. Proficiency with neuroimaging software (such as FSL, SPM, or AFNI), programming languages like Python or MATLAB, and experience with machine learning techniques are typically required. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting complex data and collaborating with multidisciplinary teams. These skills are essential for extracting meaningful insights from neuroimaging data and advancing research or clinical applications.

What are some common challenges faced by neuroimaging data scientists when working with large-scale brain imaging datasets?

Neuroimaging Data Scientists often encounter challenges related to handling and preprocessing large, complex datasets from modalities like MRI or fMRI. These datasets can be susceptible to noise, motion artifacts, and variability across scanning sites, requiring rigorous quality control and standardization protocols. Additionally, managing high-dimensional data while ensuring reproducibility and privacy compliance are essential parts of the role. Collaboration with clinicians, neuroscientists, and IT professionals is common to interpret results and maintain robust data pipelines.

What are popular job titles related to Neuroimaging Data Scientist jobs?

For Neuroimaging Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Neuroimaging Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Research Scientist

Palo Alto, CA • On-site

LVIS
See more jobs at LVISexternal

$120K - $140K/yr

Full-time

Re-posted yesterday

Job description

Company Description

LVIS Corporation is on a mission to revolutionize the entire continuum of neurological care by developing AI driven software tools to help physicians accelerate patient throughput and improve patient diagnostic and treatment outcomes. We have an international team with our headquarters located in Palo Alto, California, USA, and we have an office in Gangnam, Seoul, South Korea. We are looking for talented individuals to join us in our mission to transform the neurology health care industry.

Requirements

Minimum Qualification (Required):

  • Must have a Ph.D. in Electrical Engineering or one of the following fields: Computer Science, Mathematics, Physics, Statistics
  • Minimum 5+ years in time-series data analysis and signal processing
  • Proficiency in Python and hands-on experience with frameworks such as PyTorch, SciPy, Numpy
  • Strong understanding of machine learning and deep learning algorithms and their applications in medical settings
  • Proven experience in developing and validating complex algorithms and AI models in Python
  • Excellent communication skills and ability to collaborate within an interdisciplinary team of scientists, engineers, and physicians

Preferred Qualifications

  • First-author publications at peer-reviewed journals and conferences
  • 2+ years of post-doctoral or previous industry experience
  • Experience with neural signal decoding (EEG, ECoG, sEEG)
  • 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 experience, skills, qualifications, and location.

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