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Data Analyst Neuroscience Jobs (NOW HIRING)

Data Analysis and Machine Learning Pipeline Development: * Under moderate guidance collaborate in ... data science, neuroscience, clinical research, and epidemiology. * Ability to manage multiple ...

$60 - $80/hr

... data analytics. The work involves considerable variety and complexity of assignments, requiring independent judgment in applying guidelines to different work situations. This role is full-time and ...

Neuroscience * Cognitive Science and Biopsychology Software * PowerPoint * Excel * Word Skills * Data collection * Data analysis Statement of Work Details * Work with staff to assist and conduct ...

Neuroscience * Cognitive Science and Biopsychology Software * PowerPoint * Excel * Word Skills * Data collection * Data analysis Statement of Work Details * Work with staff to assist and conduct ...

Neuroscience * Cognitive Science and Biopsychology Software * PowerPoint * Excel * Word Skills * Data collection * Data analysis Statement of Work Details * Work with staff to assist and conduct ...

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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 9, 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.

Assistant Professor - Computational Neuroscience - Department of Neuroscience

Berkeley, CA • On-site

$150 - $200/hr

Other

Posted 7 days ago


University Of California rating

8.7

Company rating: 8.7 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

60th of 631 rated colleges and universities


Job description

The Department of Neuroscience at the University of California, Berkeley (UCB) invites applications for a tenure-track faculty position in Computational Neuroscience at the Assistant Professor level.

We seek applicants studying fundamental questions within the areas of Computational Neuroscience broadly defined. Example areas of interest include, but are not limited to, neural data analytics, neural circuit modeling, mathematical models of perception/memory/cognition/motor production, statistical modeling and machine learning approaches for neural data mining and brain modeling, theoretical neuroscience and biological intelligence. Track record of collaborations with experimental labs and synergy with research in our department will also be considered.

Neuroscience faculty at the assistant rank demonstrate excellence, originality, and productivity in research, the strong potential to obtain external funding, a capacity for excellence in teaching and mentoring of undergraduates, graduate students, and postdocs, and a commitment to service consistent with Berkeley's principles of community. Applicants are encouraged to visit (Home | Berkeley Neuroscience) to learn more about the Department and our mission.

The Department is committed to addressing the family needs of faculty, including dual career couples and single parents. We are also interested in candidates who have had non-traditional career paths or who have taken time off for family reasons, or who have achieved excellence in careers outside academia. For information about potential relocation to Berkeley, or career needs of accompanying partners and spouses, please visit: (New Senate Faculty | Office for Faculty Equity & Welfare)

PhD, MD or equivalent international degree

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