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Neuroimaging Research Data Analyst

Job in Aurora, Arapahoe County, Colorado, 80012, USA
Listing for: University of Colorado System
Full Time position
Listed on 2026-10-12
Job specializations:
  • Research/Development
    Data Scientist, Clinical Research, Research Scientist
Salary/Wage Range or Industry Benchmark: 63000 - 80000 USD Yearly USD 63000.00 80000.00 YEAR
Job Description & How to Apply Below

University of Colorado Anschutz Department:
Psychiatry

Job Title:

Neuroimaging Research Data Analyst Position #:

– Requisition #: 41084

Job Summary:

The Neuromoimaging Research Data Analyst will provide quantitative,computational, and data management support for a multidisciplinaryneuromodulation research program within the Department of Psychiatry at the University of Colorado Anschutz Medical Campus.

The research program uses advanced neuroscience methods, including functional and structural magnetic resonance imaging (fMRI/MRI),transcranial magnetic stimulation (TMS), neuronavigation, clinical assessments, behavioral measures, and other multimodal approaches to investigate brain circuitry and develop and evaluateneuromodulation interventions for psychiatric and related conditions.

Working as part of Neuromodulation Research, the Research Data Analyst will work under the Neuromodulation Chair, and in collaboration with faculty investigators, research professionals,clinicians, statisticians, data scientists, and trainees. The position will support the organization, processing, quality control, analysis, integration, visualization, and reporting ofcomplex neuroimaging research datasets. Responsibilities will include implementation of established computational workflows,development and maintenance of research datasets and code,statistical and neuroimaging analyses, data quality assurance,preparation of research results, and support for manuscripts,presentations, and grant applications.

The position will applyestablished quantitative methods while developing increasing independence and expertise in neuroimaging, neuromodulation, and reproducible research practices.

Key Responsibilities:

25% – Research Data Processing and Quantitative Analysis
  • Process and analyze neuroimaging, neuromodulation, behavioral,clinical, and other research datasets using establishedquantitative and computational methods.
  • Implement statistical analyses under the guidance of seniorscientific personnel and investigators.
  • Apply established analysis pipelines to functional and structural MRI data and other neuroscience datasets.
  • Generate summary statistics, derived variables, quantitative measures, and analytic datasets for research projects.
  • Assist with integration of imaging, TMS, neuronavigation,clinical, behavioral, and other multimodal research data.
20% – Neuroimaging and Neuromodulation Data Analysis
  • Perform preprocessing and quality assessment of functional and structural MRI data using established software and analysis pipelines.
  • Assist with analyses of brain structure, function,connectivity, and other imaging-derived measures relevant toneuromodulation research.
  • Support processing and analysis of data used for MRI-informedTMS targeting and neuronavigation.
  • Assist with quantitative evaluation of relationships amongstimulation targets, imaging measures, treatment parameters, and clinical or behavioral outcomes.
  • Identify data quality issues and consult with senior scientificpersonnel regarding appropriate resolution or exclusionprocedures.
15% – Research Data Management and Quality Assurance
  • Organize, maintain, and document research datasets according toprogram standards and approved research protocols.
  • Perform routine data quality checks to identify missing,inconsistent, duplicated, out-of-range, or otherwise problematicdata.
  • Assist with development and maintenance of data dictionaries,variable definitions, file structures, metadata, and other research documentation.
  • Reconcile information across research data sources and workwith study personnel to resolve discrepancies.
  • Support preparation of analysis-ready datasets while maintaining appropriate participant confidentiality and data security.
15% – Computational Workflows and Reproducible Research
  • Implement, maintain, and troubleshoot established computationalworkflows for research data processing and analysis.
  • Write, modify, test, and document code and scripts using programming and scientific computing tools such as Python, R,MATLAB, shell scripting, or related platforms.
  • Use version-control and code-management practices to supportreproducibility and collaboration.
  • Assist with automation of repetitive data processing,quality-control, and reporting tasks.
  • Maintain clear documentation of analytical procedures, softwareversions, processing parameters, and data transformations.
10% – Statistical Analysis and Data Visualization
  • Conduct descriptive and inferential statistical analyses underthe direction of investigators and senior…
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