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Full Time Neuroimaging Data Analyst Jobs in Raleigh, NC

UNC-Chapel Hill

Open Rank

Chapel Hill, NC · On-site

... neuroimaging, molecular assays, and ecological data. Ideally, the candidate will serve as a ... analysis; disseminating results; publishing in high-impact scientific journals; and securing ...

UNC-Chapel Hill

Open Rank

Chapel Hill, NC

... neuroimaging, molecular assays, ecological data, and computational approaches. In addition to ... analysis; disseminating results; publishing in high-impact scientific journals; and securing ...

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Full Time Neuroimaging Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

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

As of Aug 14, 2026, the average yearly pay for full time neuroimaging data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 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 the most commonly searched types of Neuroimaging Data Analyst jobs in Raleigh, NC?

The most popular types of Neuroimaging Data Analyst jobs in Raleigh, NC are:

What are popular job titles related to Full Time Neuroimaging Data Analyst jobs in Raleigh, NC?

For Full Time Neuroimaging Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Full Time Neuroimaging Data Analyst jobs in Raleigh, NC look for?

The top searched job categories for Full Time Neuroimaging Data Analyst jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Full Time Neuroimaging Data Analyst jobs?

Cities near Raleigh, NC with the most Full Time Neuroimaging Data Analyst job openings:

Full Time Neuroimaging Data Analyst jobs near you

Cloud Data Architect (Full-time Remote, NC Based)

Alliance Health

Morrisville, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Job description

The Cloud Data Architect is responsible for design and implementation of scalable enterprise-wide data architecture.  These responsibilities include optimizing data performance and accessibility, and ensuring data quality, integrity and security.

This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.

Responsibilities & Duties

Data Architecture Design and Modelling

  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms
  • Establish data access patterns (serving layers, semantic models, APIs) to optimize downstream analytics and reporting
  • Participate in business analysis activities to elicit data product requirements

Enterprise Data Platform Strategy

  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Define future-state data architecture roadmaps aligned to organizational strategy and modernization initiatives
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms

Data Engineering Enablement

  • Define reference architectures, coding standards, and reusable patterns for data engineering teams 
  • Review and approve solution designs to ensure adherence to enterprise data architecture standards 
  • Provide technical mentorship and design guidance to engineers and analysts

Data Governance & Security

  • Participate in data governance council and provide input on data standards and policies to ensure data quality, security, and compliance
  • Collaborate with security and compliance teams to implement data classification, encryption, access controls, and audit logging
  • Ensure data architectures comply with HIPAA, and organizational data privacy standards

Stakeholder Collaboration & Communication

  • Capture end-user requirements and align technical solutions to strategic business objectives
  • Translate business needs into scalable, secure, and well-governed data architecture solutions
  • Provide architectural expertise and leadership guidance to data engineering teams

Minimum Requirements

Education & Experience

Bachelor’s degree in computer science or related field and at least five (5) years of experience working as a Cloud Data Architect with direct involvement and responsibilities for architecting an enterprise-scale data Lakehouse or data warehouse on a Microsoft Azure cloud platform, preferably in a healthcare setting.

The following technical certification (or comparable) is required:

• Databricks Certified Data Engineer Professional

The following technical certification (or comparable) is preferred:

• Azure Security Engineer Associate (AZ-500)

Knowledge, Skills, & Abilities

  • Architecting enterprise-scale Medallion data platforms on Microsoft Azure
  • Databricks Development and Administration
  • Data modeling: dimensional (Kimball), star/snowflake, and SCDs
  • Enterprise governance frameworks for data quality, lineage, and metadata
  • PySpark and SQL skills for scalable batch and streaming pipelines
  • Azure Data Services: ADLS Gen2, Data Factory, Synapse
  • DevOps, Git and CI/CD best practices
  • Architectural artifacts & documentation (e.g., technical specs, data models, policies, procedures, architecture diagrams)
  • Agile methodology and tools
  • HIPAA/HITECH compliance in cloud architectures
  • Technical leadership skills
  • Communication and organizational skills
  • Ability to work independently and in a team setting
  • Experience working with healthcare datasets

Employment for this position is contingent upon a satisfactory background and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date. 

Salary Range 

$118-$150,872/Annually 

Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity. 

An excellent fringe benefit package accompanies the salary, which includes:  

  • Medical, Dental, Vision, Life, Long Term Disability
  • Generous retirement savings plan
  • Flexible work schedules including hybrid/remote options
  • Paid time off including vacation, sick leave, holiday, management leave
  • Dress flexibility

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