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Full Time Neuroimaging Data Analyst Jobs in Springfield, MA

Big Data Technology Architect

Hartford, CT

$64.25 - $82.75/hr

Analytical skills Experience and desire to work in a management consulting environment that ... Additional Information Job Status: Full Time Eligibility: EAD GC or GC or US Citizens Share the ...

Ability to analyze financial data, identify trends, and interpret results * Strong critical ... This fulltime position is eligible for a comprehensive benefits package designed to support the ...

Senior Programmer Analyst

Hartford, CT

$45 - $60.75/hr

With more than 2,100 full-time undergraduate students, representing forty-three states and ninety ... Knowledge of FERPA, HIPAA, and data governance/security best practices * Ability to work ...

Senior Financial Analyst

Springfield, MA · On-site

$85K - $106K/yr

Maintain confidential physician compensation data and reporting. * Participate in month-end close ... SCHEDULE: * Full-time, 40 hours a week * Monday through Friday * No weekends, No holidays LOCATION ...

Senior Financial Analyst

Springfield, MA · Hybrid

$85K - $106K/yr

Maintain confidential physician compensation data and reporting. * Participate in month-end close ... SCHEDULE: * Full-time, 40 hours a week * Monday through Friday * No weekends, No holidays LOCATION ...

Showing results 41-60

Full Time Neuroimaging Data Analyst information

See Springfield, MA salary details

$33.9K

$82.4K

$135.5K

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

As of Aug 6, 2026, the average yearly pay for full time neuroimaging data analyst in Springfield, MA is $82,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 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.
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What cities near Springfield, MA are hiring for Full Time Neuroimaging Data Analyst jobs? Cities near Springfield, MA with the most Full Time Neuroimaging Data Analyst job openings:

Big Data Technology Architect

TecTammina

Hartford, CT

$64.25 - $82.75/hr

Full-time

Re-posted 13 days ago


Job description

Company Description

First IT Solutions

Job Description

Well-versed with the concepts of Hadoop framework

Should have Java and Python scripting knowledge

Should have worked on Map reduce programs

Should be comfortable with Pig scripts and UDFs

Should be well versed in Hive/HBase

Knowledge of tools like Sqoop/Flume/Zoo Keeper/

Broad knowledge of upcoming technologies like Spark, Storm, kafka etc

Should have worked on at least 2 projects in Big Data

Basic knowledge of Unix and Shell scripting

Experience in providing advanced technology advisory services.

Understanding of market and technology trends.

Analytical skills

Experience and desire to work in a management consulting environment that requires regular travel

Qualifications

Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

At least 11 years of experience with Information Technology.

At least 7 years of experience in Software development life cycle with primary experience in DW/BI and related tools, understanding of HADOOP Framework, Hive , Pig and NoSQL.

At least 5 years of experience in Project life cycle activities on DW/BI development and maintenance projects.

Additional Information

Job Status: Full Time

Eligibility: EAD GC or GC or US Citizens

Share the Profiles to mkonni(at)1stitsolutions.com

Contact: 703-349-1214

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