Telecommute Neuroscience Data Scientist information
See salary details
$81.9K - $99.9K
4% of jobs
$99.9K - $117.8K
9% of jobs
$133.1K is the 25th percentile. Wages below this are outliers.
$117.8K - $135.8K
11% of jobs
$135.8K - $153.7K
7% of jobs
The median wage is $159.5K / yr.
$153.7K - $171.7K
50% of jobs
$171.7K - $189.6K
2% of jobs
$189.6K - $207.6K
1% of jobs
$207.6K - $225.5K
0% of jobs
$225.5K - $243.5K
13% of jobs
How much do telecommute neuroscience data scientist jobs pay per year?
As of Aug 19, 2026, the average yearly pay for telecommute neuroscience data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.
Telecommute neuroscience data scientists are professionals who analyze and interpret complex neurological data while working remotely. They use computational tools, statistical methods, and machine learning to uncover patterns in data from brain imaging, neural recordings, or behavioral studies. These scientists collaborate with researchers, clinicians, or technology developers to advance understanding of the brain and neurological diseases, often using advanced software for data analysis. Their work plays a crucial role in neuroscience research, drug development, and health technology, all from a flexible, remote environment.
Telecommute Neuroscience Data Scientists often use digital collaboration tools such as video conferencing, shared code repositories, and project management platforms to work closely with multidisciplinary teams. Regular virtual meetings and clear documentation are key to staying aligned with researchers, clinicians, and data engineers. Despite the remote nature, building strong communication channels helps ensure scientific rigor, timely feedback, and smooth integration of findings into ongoing projects.
To thrive as a Telecommute Neuroscience Data Scientist, you need strong expertise in neuroscience, statistics, and data analysis, typically supported by an advanced degree in neuroscience, computer science, or a related field. Proficiency in programming languages like Python or R, familiarity with neuroimaging tools (e.g., fMRI analysis software), and experience with machine learning frameworks are commonly required. Excellent problem-solving, communication, and self-motivation are vital soft skills for collaborating remotely and interpreting complex data findings. These capabilities ensure accurate, innovative insights and effective teamwork in a remote, data-driven neuroscience environment.
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