Neuroimaging Research Data Analyst

University of Colorado; South Dakota; On-site; USD 70,000 - 110,000; Full time

Job summary

The Neuromodulation Research Data Analyst at the University of Colorado Anschutz Medical Campus provides quantitative, computational, and data management support for a multidisciplinary neuromodulation program in Psychiatry. The role covers organizing, processing, quality control, analysis, and reporting of complex neuroimaging datasets using fMRI/MRI, TMS, neuronavigation, and behavioral measures.

Reporting to the Neuromodulation Chair, the analyst will develop and maintain datasets and code,

Qualifications

• Experience with neuroimaging data processing and quantitative analysis.
• Familiarity with MRI data preprocessing and quality control workflows.
• Proficiency in Python, R, MATLAB or similar scientific computing tools.
• Ability to manage and document large research datasets.

Responsibilities

• 25% - Research Data Processing and Quantitative Analysis
• Process and analyze neuroimaging, neuromodulation, behavioral, clinical, and other research datasets using established quantitative and computational methods.
• Implement statistical analyses under the guidance of senior scientific 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 to neuromodulation research.
• Support processing and analysis of data used for MRI-informed TMS targeting and neuronavigation.
• Assist with quantitative evaluation of relationships among stimulation targets, imaging measures, treatment parameters, and clinical or behavioral outcomes.
• Identify data quality issues and consult with senior scientific personnel regarding appropriate resolution or exclusion procedures.
• 15% - Research Data Management and Quality Assurance
• Organize, maintain, and document research datasets according to program standards and approved research protocols.
• Perform routine data quality checks to identify missing, inconsistent, duplicated, out-of-range, or otherwise problematic data.
• Assist with development and maintenance of data dictionaries, variable definitions, file structures, metadata, and other research documentation.
• Reconcile information across research data sources and work with 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 computational workflows 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 support reproducibility and collaboration.
• Assist with automation of repetitive data processing, quality-control, and reporting tasks.
• Maintain clear documentation of analytical procedures, software versions, processing parameters, and data transformations.
• 10% - Statistical Analysis and Data Visualization
• Conduct descriptive and inferential statistical analyses under the direction of investigators and senior quantitative personnel.
• Create tables, figures, dashboards, and other visualizations to communicate research findings and data quality metrics.
• Assist with interpretation of statistical and quantitative results in collaboration with the Neuromodulation Research Lead Scientist and study investigators.
• Support exploratory analyses and feasibility assessments for new research questions and grant ap

Job description

University of Colorado Anschutz Department: Psychiatry Job Title: Neuroimaging Research Data Analyst Position #:00852958 - Requisition #: 41084

Job Summary:

The Neuromoimaging Research Data Analyst will provide quantitative, computational, and data management support for a multidisciplinary neuromodulation 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 evaluate neuromodulation 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 of complex 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 apply established 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 established quantitative and computational methods.
• Implement statistical analyses under the guidance of senior scientific 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 to neuromodulation research.
• Support processing and analysis of data used for MRI-informed TMS targeting and neuronavigation.
• Assist with quantitative evaluation of relationships among stimulation targets, imaging measures, treatment parameters, and clinical or behavioral outcomes.
• Identify data quality issues and consult with senior scientific personnel regarding appropriate resolution or exclusion procedures.
• 15% - Research Data Management and Quality Assurance
• Organize, maintain, and document research datasets according to program standards and approved research protocols.
• Perform routine data quality checks to identify missing, inconsistent, duplicated, out-of-range, or otherwise problematic data.
• Assist with development and maintenance of data dictionaries, variable definitions, file structures, metadata, and other research documentation.
• Reconcile information across research data sources and work with 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 computational workflows 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 support reproducibility and collaboration.
• Assist with automation of repetitive data processing, quality-control, and reporting tasks.
• Maintain clear documentation of analytical procedures, software versions, processing parameters, and data transformations.
• 10% - Statistical Analysis and Data Visualization
• Conduct descriptive and inferential statistical analyses under the direction of investigators and senior quantitative personnel.
• Create tables, figures, dashboards, and other visualizations to communicate research findings and data quality metrics.
• Assist with interpretation of statistical and quantitative results in collaboration with the Neuromodulation Research Lead Scientist and study investigators.
• Support exploratory analyses and feasibility assessments for new research questions and grant ap