Part Time Data Science Neuroscience information
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$99.5K - $114K
11% of jobs
$119.3K is the 25th percentile. Wages below this are outliers.
$114K - $128.5K
16% of jobs
The median wage is $141.2K / yr.
$128.5K - $143K
17% of jobs
$143K - $157.5K
16% of jobs
$163.4K is the 75th percentile. Wages above this are outliers.
$157.5K - $172K
17% of jobs
$172K - $186.5K
10% of jobs
$186.5K - $201K
5% of jobs
How much do part time data science neuroscience jobs pay per year?
As of Aug 21, 2026, the average yearly pay for part time data science neuroscience in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.
A part-time data science role in neuroscience involves applying data analysis, statistical modeling, and computational techniques to understand brain functions and neurological data while working fewer hours than a full-time position. These roles often support research projects, analyze large datasets such as brain imaging or behavioral data, and contribute insights to advance neuroscience discoveries. Part-time positions are ideal for students, professionals seeking flexible hours, or those balancing multiple commitments, allowing them to contribute valuable skills without a full-time commitment.
To thrive as a Part Time Data Science Neuroscience professional, you need a solid background in neuroscience, statistics, and data analysis, usually backed by a relevant degree or research experience. Familiarity with programming languages like Python or R, data visualization tools, and experience with neuroimaging software such as MATLAB or FSL are typically required. Strong critical thinking, problem-solving, and the ability to communicate complex findings clearly make candidates stand out. These skills and qualities are crucial for extracting actionable insights from complex brain data and contributing effectively to interdisciplinary research teams.
Part-time data scientists in neuroscience often face the challenge of balancing project timelines with limited hours, which can make it difficult to dive deeply into complex datasets or long-term experiments. They must quickly adapt to specialized neuroimaging tools and biological data formats, and frequent collaboration with neuroscientists means strong communication skills are essential for aligning analysis goals. Despite these challenges, many part-time roles offer opportunities to work on interdisciplinary teams, contribute to high-impact research, and develop expertise in both neuroscience and advanced analytics.
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