Research Assistant - Neuroimaging and Behavioral Data

Rosalind Franklin University of Medicine and Science's Human Performance Laboratory and Center for Lower Extremity Ambulatory Research support multidisciplinary research in biomechanics, injury prevention, human performance, neuroscience, and physiology. The part-time Research Assistant will organize, quality-control, preprocess, and analyze neuroimaging and behavioral datasets while developing reproducible coding workflows and preparing results for review and dissemination.

What you'll do:

• Inventory, organize, and review neuroimaging and behavioral datasets and their linked metadata; maintain consistent file structures, data dictionaries, codebooks, data provenance, processing-status records, and analysis-ready datasets
• Verify participant and session matching, file completeness, variable definitions, plausible ranges, missingness, exclusions, and modality- or task-specific quality indicators; document and escalate unresolved discrepancies
• Perform and document data cleaning, preprocessing, quality control, and quantitative analysis under PI-approved plans
• Develop, review, test, and maintain reproducible coding workflows for data cleaning, harmonization, analysis, and visualization
• Document software versions, parameters, inputs, outputs, data dimensions, and validation checks so results can be independently reproduced
• Maintain versioned analysis scripts, change records, data dictionaries, processing notes, and decision logs; preserve raw data and provenance throughout the workflow
• Prepare quality-control summaries, descriptive results, figures, tables, and organized materials for PI review
• Support relevant literature review, interpretation, manuscript development, presentations, and archiving of final analysis products

What they're looking for:

• Relevant education, coursework, training, or experience in neuroscience, neuroimaging, psychology, biomedical engineering, kinesiology, data science, or a related quantitative field
• Demonstrated experience with scientific coding and quantitative data analysis
• Ability to write, review, test, and document analysis code in at least one scientific programming language
• Understanding of reproducible data-analysis practices, including preservation of raw data, provenance, parameter tracking, and validation checks
• Strong attention to detail when reviewing complex file structures, participant and session identifiers, metadata, missingness, exclusions, and quality indicators
• Ability to interpret quantitative outputs, identify implausible or inconsistent results, and communicate questions clearly to the PI
• Ability to protect confidential information and work reliably both independently and as part of a research team
• The selected candidate must be able to perform essential functions with or without reasonable accommodations
• The position primarily involves computer-based work and may require sustained attention to detailed visual and quantitative information
• Experience with neuroimaging data structures, preprocessing workflows, quality control, or analysis software
• Experience with behavioral or cognitive-task data, statistical modeling, and scientific visualization
• Proficiency with Python, R, MATLAB, or comparable scientific programming tools

Benefits:

• All RFU employees are eligible to accrue personal leave in accordance with IL law.
• All RFU employees are eligible to make unmatched contributions to voluntary supplemental pre-tax and post-tax retirement plans.