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Full Time Neuroimaging Data Analyst Jobs in Riverside, CA

Data Analyst Job Category ... Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee ...

Field Data Analyst

Irvine, CA · On-site

$75K - $115K/yr

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware ...

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware ...

Field Data Analyst Location: Irvine, CA Job Type: Full time Prefer Local Candidates Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware ...

Manages day-to-day results reporting and visualization through research and analysis of data ... Pay Range: $92,000.00 to $110,000.00/YR Employment Type: full-time

Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Continental US * * * The ...

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Full Time Neuroimaging Data Analyst information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

How much do full time neuroimaging data analyst jobs pay per year?

As of Aug 2, 2026, the average yearly pay for full time neuroimaging data analyst in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 per year, depending on experience, location, and employer.

What does a Full Time Neuroimaging Data Analyst do?

A Full Time Neuroimaging Data Analyst processes and analyzes brain imaging data, such as MRI or PET scans, to support clinical research or healthcare studies. They use specialized software and statistical methods to interpret complex neuroimaging datasets, extract relevant features, and help researchers draw meaningful conclusions about brain structure and function. Their work often involves data cleaning, quality control, visualization, and collaboration with neuroscientists or clinicians. Additionally, they may contribute to developing new analysis pipelines and ensuring data integrity throughout research projects.

What is the difference between Full Time Neuroimaging Data Analyst vs Research Neuroimaging Technician?

AspectFull Time Neuroimaging Data AnalystResearch Neuroimaging Technician
CredentialsBachelor's or Master's in Neuroscience, Psychology, or related field; experience with neuroimaging softwareAssociate's or Bachelor's; training in neuroimaging data collection and processing
Work EnvironmentResearch labs, hospitals, universities; data analysis focusResearch sites, hospitals; data collection and preliminary processing
Employer & IndustryAcademic, healthcare, biotech sectorsResearch institutions, universities
Common Search/ComparisonYesYes

The Full Time Neuroimaging Data Analyst primarily focuses on analyzing neuroimaging data using specialized software, while the Research Neuroimaging Technician is more involved in collecting and preparing data. Both roles require relevant education and work in research environments, but their core responsibilities differ, making this comparison useful for job seekers and employers alike.

What are the key skills and qualifications needed to thrive as a Full Time Neuroimaging Data Analyst, and why are they important?

To thrive as a Full Time Neuroimaging Data Analyst, you need a solid background in neuroscience, statistics, and data analysis, typically with a relevant degree such as neuroscience, psychology, or computer science. Familiarity with neuroimaging software (e.g., SPM, FSL, AFNI), programming languages like Python or MATLAB, and experience with MRI or fMRI data are essential technical requirements. Strong problem-solving skills, attention to detail, and effective communication are key soft skills for collaborating with research teams and interpreting complex datasets. These skills ensure the accurate processing and analysis of neuroimaging data, driving meaningful scientific discoveries and supporting collaborative research efforts.

What are some common challenges faced by Full Time Neuroimaging Data Analysts, and how can they be addressed?

Full Time Neuroimaging Data Analysts often encounter challenges such as managing large and complex datasets, ensuring data quality, and staying updated with rapidly evolving analysis software and methodologies. Effective communication with interdisciplinary teams—such as neuroscientists, clinicians, and software engineers—is crucial to interpret results accurately and align analysis goals. Continuous learning through workshops, collaboration, and regular code reviews helps address technical challenges and fosters professional growth in this dynamic field.
What are popular job titles related to Full Time Neuroimaging Data Analyst jobs in Riverside, CA? For Full Time Neuroimaging Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Full Time Neuroimaging Data Analyst jobs in Riverside, CA look for? The top searched job categories for Full Time Neuroimaging Data Analyst jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Full Time Neuroimaging Data Analyst jobs? Cities near Riverside, CA with the most Full Time Neuroimaging Data Analyst job openings:

$142K/yr

Full-time

Medical, Retirement, PTO

Re-posted 2 days ago


Job description

Job Title: Data Analyst
Job Category: Information Technology
Time Type: Full time
Minimum Clearance Required to Start: Secret
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Continental US
* * *
The Opportunity:
CACI is seeking a skilled Data Analyst with 2-5 years of experience to support the Data & Analytics team at Naval Surface Warfare Center (NSWC) Corona. The ideal candidate will have a strong background in data visualization, data processing, and proficiency in Python. The Data Analyst will be responsible for transforming complex data into actionable insights, creating compelling visualizations, and supporting data-driven decision-making across the organization.
Responsibilities:
  • Analyze large datasets to identify trends, patterns, and insights.
  • Create interactive and insightful data visualizations using Tableau.
  • Present data findings to stakeholders in a clear and concise manner.
  • Clean, transform, and preprocess data to ensure accuracy and reliability.
  • Develop and maintain data pipelines for efficient data flow and storage.
  • Ensure data integrity and perform quality checks on datasets.
  • Write efficient Python scripts for data manipulation, analysis, and automation.
  • Utilize Python libraries (e.g., Pandas, NumPy, Matplotlib) to perform advanced data analysis.
  • Collaborate with data engineers to integrate Python-based solutions into existing data infrastructure.
  • Work closely with cross-functional teams to understand their data needs and provide analytical support.
  • Assist in the development and implementation of data strategies and initiatives.
  • Provide training and support to team members on data tools and techniques.

Qualifications:
Required:
  • Bachelor's degree in related field.
  • 2-5 years of experience as a Data Analyst or in a similar role.
  • Proven experience with Tableau for data visualization.
  • Strong experience in data processing and cleaning.
  • Proficiency in Python for data analysis and scripting.
  • Excellent analytical and problem-solving skills.
  • Strong attention to detail and data accuracy.
  • Excellent communication and presentation skills.
  • Ability to work independently and as part of a team.
  • Familiarity with SQL and database management systems.
  • Knowledge of statistical methods and techniques.
  • U.S. Citizenship required for security clearance purposes.
  • Ability to obtain and maintain a security clearance.

Desired:
  • Experience with other data visualization tools (e.g., Power BI, Looker).
  • Knowledge of machine learning algorithms and techniques.
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure).

This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI.
What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$69,600 - 142,700 USD
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.