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Data Analyst Neuroscience Jobs (NOW HIRING)

Massgeneralbrigham

Data Analyst I

Somerville, MA · On-site

$53K - $75K/yr

We are seeking those with training in the fields of neuroscience, biomedical engineering ... data analysis. Experience may include co-ops and internships. Advanced computer skills, with the ...

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AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field. * 1-3 years of data science ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field. * 1-3 years of data science ...

Boston Childrens Hospital

$52K - $83K/yr

Data infrastructure projects at the Labs of Cognitive Neuroscience, including database development / administration for secondary data analysis This position involves overseeing multiple types of ...

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Data Analyst Neuroscience information

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$34K

$82.6K

$136K

How much do data analyst neuroscience jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data analyst neuroscience 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 does a data analyst in neuroscience do?

A Data Analyst in Neuroscience specializes in collecting, processing, and interpreting complex neurological data, such as brain imaging results or neural activity recordings. They use statistical tools and programming languages to analyze patterns and trends in large data sets, helping neuroscientists draw meaningful conclusions about brain function and behavior. Their work supports research efforts, assists in the development of new treatments, and contributes to a deeper understanding of the nervous system.

What are the key skills and qualifications needed to thrive as a data analyst in neuroscience?

To thrive as a Data Analyst in Neuroscience, you need a solid background in statistics, data analysis, and neuroscience, typically supported by a degree in neuroscience, data science, or a related field. Familiarity with programming languages like Python or R, experience with neuroimaging tools (such as SPM or FSL), and proficiency in data visualization platforms are important technical qualifications. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret complex data and collaborate with multidisciplinary research teams. These skills and qualifications are vital for generating meaningful insights from complex brain data and advancing neuroscience research.

What are some common challenges data analysts face when working with neuroscience data, and how can they be addressed?

One frequent challenge for Data Analysts in neuroscience is handling large, complex datasets that can contain noisy or incomplete data. Ensuring data quality and applying appropriate preprocessing techniques are crucial steps. Additionally, collaborating closely with neuroscientists is essential to fully understand the experimental context and interpret results accurately. Developing strong communication skills and familiarity with domain-specific analysis tools can help address these challenges and enhance the impact of your work.

What is the difference between Data Analyst Neuroscience vs Data Scientist Neuroscience?

AspectData Analyst NeuroscienceData Scientist Neuroscience
Required CredentialsBachelor's in Neuroscience, Data Analysis, or related fieldsBachelor's or higher in Data Science, Computer Science, or related fields; often a master's or PhD
Work EnvironmentResearch labs, healthcare, academic institutionsTech companies, research organizations, healthcare, academia
Employer & Industry UsageUniversities, hospitals, biotech firmsTech firms, pharmaceutical companies, research institutes
Common Search & ComparisonYesYes

While both roles analyze data within neuroscience, Data Analyst Neuroscience focuses on interpreting experimental data and generating reports, often with basic statistical tools. Data Scientist Neuroscience involves advanced modeling, machine learning, and programming skills to develop predictive models and handle large datasets. The roles overlap but differ mainly in complexity and scope of data analysis techniques.

What do you need to be a data analyst neuroscience?

To become a data analyst in neuroscience, you typically need a bachelor's degree in neuroscience, data science, statistics, or a related field. Strong skills in programming languages like Python or R, experience with data visualization tools, and knowledge of statistical analysis are essential. Advanced roles may require a master's degree or higher and familiarity with neuroimaging software or machine learning techniques.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but a Data Analyst in neuroscience or other fields is essential for interpreting complex data, designing experiments, and providing insights that require domain expertise. Human analysts also handle data quality, contextual understanding, and communication with stakeholders, which AI currently cannot fully replicate. Therefore, AI is a tool that complements rather than replaces data analysts.

What cities are hiring for Data Analyst Neuroscience jobs?

Cities with the most Data Analyst Neuroscience job openings:

What states have the most Data Analyst Neuroscience jobs?

States with the most job openings for Data Analyst Neuroscience jobs include:

What are popular job titles related to Data Analyst Neuroscience jobs?

For Data Analyst Neuroscience jobs, the most frequently searched job titles are:

Infographic showing various Data Analyst Neuroscience job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Biosensor Data Analyst

Lexington, MA

Odyssey Systems LLC
Public Administration • 1 - 5K employees
Learn more about Odyssey Systems LLCexternal

Full-time

Re-posted 24 days ago

Job description

The Human Health & Performance Systems Group focuses on objective, technology-based human-centered solutions to measure, model and modify cognitive and physiological function for enhancement, sustainment, or recovery. This goal is accomplished through three broad technical areas: health and resilience monitoring, trauma care, and performance enhancement. Research in all areas includes capability gap analysis, advanced sensing, machine learning, and artificial intelligence algorithms, biologically-based modeling, prototyping, system integration, and field testing of systems to monitor the human state, predict outcomes, and intervene to improve health and performance.

Typical goals include increasing physical, cognitive and psychological performance and resilience of end-users in their operational environments; measuring, modeling, and modifying the brain to mitigate neurotrauma and neurodegeneration of end-users after exposure; and developing human-machine interfaces for enhanced end-user performance and communication within groups. This highly interdisciplinary group draws on skills from biology, physiology, cognitive science, neuroscience, psychology, biosignal processing, engineering, machine learning and artificial intelligence, computer science, physics, and medical research areas. Primary government sponsors and partners are in the Departments of Defense, Veterans Affairs, Homeland Security, NASA, the National Institutes of Health, and the National Science Foundation.

Odyssey Systems needs a Biosensor Data Analyst to analyze biosensor data and to assist in developing and assessing biosignal processing algorithms

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