Neuroimaging Research Data Analyst

University of Colorado•Aurora, CO

9d•$63,096 - $80,258•Onsite

About The Position

The Neuroimaging Research Data Analyst provides 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 program uses functional and structural MRI, transcranial magnetic stimulation (TMS), neuronavigation, clinical assessments, behavioral measures, and other multimodal methods to investigate brain circuitry and develop and evaluate neuromodulation interventions for psychiatric and related conditions. Working under the Neuromodulation Chair and in collaboration with faculty investigators, research professionals, clinicians, statisticians, data scientists, and trainees, the analyst supports the organization, processing, quality control, analysis, integration, visualization, and reporting of complex research datasets. The position implements established computational workflows; develops and maintains research datasets and code; conducts statistical and neuroimaging analyses; performs data quality assurance; prepares research results; and supports manuscripts, presentations, and grant applications. The analyst applies established quantitative methods while developing increasing independence and expertise in neuroimaging, neuromodulation, and reproducible research practices. This is an onsite position at the University of Colorado Anschutz Medical Campus in Aurora, Colorado. Hybrid work eligibility depends on program and departmental needs. The role may involve MRI, TMS, computational research, and clinical research environments. Occasional schedule flexibility may be required to support research deadlines, data acquisition, grant submissions, or scientific activities. Applicants must be legally authorized to work in the United States without sponsorship.

Requirements

Bachelor’s degree in social/behavioral sciences, physical sciences, public health, healthcare, or a directly related field from an accredited institution; a combination of education and related technical, military, or paraprofessional experience may substitute for the bachelor’s degree year for year.
Two years of professional experience in research data analysis, quantitative research, neuroimaging, neuroscience research, biomedical data analysis, statistics, data science, scientific computing, or a closely related area relevant to the work assignment.
Applicants must meet minimum qualifications at the time of hire.
Applicants must be legally authorized to work in the United States without requiring sponsorship; the employer cannot provide work visa sponsorship or employment authorization now or in the future.
Must complete and maintain applicable institutional human-subjects protection, information security, research compliance, MRI safety, and other required training.
Must adhere to institutional requirements for access, storage, analysis, transmission, and protection of confidential and sensitive research data.
Ability to organize, process, analyze, interpret, and visualize complex research data using appropriate quantitative, statistical, and computational methods.
Ability to use programming, statistical, and/or scientific computing tools to implement data-processing and analysis workflows and learn new analytical tools and methods.
Ability to identify and resolve data quality issues, maintain accurate research documentation, and follow reproducible data management and analytical practices.
Strong analytical reasoning, attention to detail, and ability to troubleshoot routine data and computational problems and recognize when issues require consultation or escalation.
Ability to communicate effectively in writing and orally and explain data, analytical methods, and results to colleagues with varying levels of quantitative expertise.
Ability to establish and maintain effective working relationships with faculty, scientists, clinicians, research staff, trainees, and employees throughout the institution; outstanding customer service skills.
Ability to manage multiple research assignments, meet project deadlines, maintain confidential information, and exercise discretion and personal accountability.

Nice To Haves

An advanced degree (Master’s or Doctorate) in a field directly related to the work assignment may substitute for experience year for year.
Experience analyzing human neuroscience, neuroimaging, clinical research, behavioral, or other complex biomedical research data.
Experience processing and analyzing functional and/or structural MRI data using commonly used neuroimaging software or computational workflows.
Experience using one or more programming or statistical languages such as Python, R, MATLAB, or related scientific computing tools.
Experience with research data management, quality assurance, reproducible analysis workflows, and version-control tools such as Git.
Experience in a multidisciplinary academic research environment and contributing quantitative analyses, figures, or other materials to scientific manuscripts, presentations, or grant applications.

Responsibilities

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.
Preprocess and perform 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 about resolution or exclusion procedures.
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 developing and maintaining 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.
Prepare analysis-ready datasets while maintaining participant confidentiality and data security.
Implement, maintain, and troubleshoot established computational workflows for research data processing and analysis.
Write, modify, test, and document code and scripts using 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 automating repetitive data processing, quality-control, and reporting tasks.
Document analytical procedures, software versions, processing parameters, and data transformations.
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 interpreting 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 applications.
Prepare figures, tables, data summaries, methods documentation, and other quantitative materials for manuscripts, abstracts, presentations, grant applications, progress reports, and scientific meetings.
Assist investigators and senior scientific personnel with data and analysis questions arising during manuscript and grant preparation.
Maintain documentation sufficient to support verification and reproducibility of reported research findings.
Participate in Neuromodulation Research, research program, and individual study meetings as appropriate.
Collaborate with investigators and research personnel to understand project requirements and translate research questions into defined data and analysis tasks.
Provide technical assistance to research team members regarding established data management, processing, analysis, and visualization procedures.
Coordinate with research informatics, information technology, imaging, and other institutional resources to resolve routine data or computational issues.
Conduct research data activities in accordance with approved protocols, data use requirements, institutional policies, and applicable human-subjects research requirements.
Protect confidential and sensitive research information.
Complete required institutional research, information security, human-subjects protection, MRI safety, and other applicable training.
Maintain knowledge of evolving methods, software, and best practices relevant to neuroimaging, neuromodulation, quantitative neuroscience, and reproducible research.
Perform other research data and quantitative support duties as assigned.