Neuroimaging Data Analyst — Pipelines & Reproducible Research

Columbia University; New York (NY); On-site; USD 80,000 - 82,000; Full time

Job summary

Columbia University in New York seeks a Research Data Analyst to manage multimodal research data, including neuroimaging, clinical, and behavioral datasets. This role supports data workflows, analytic pipelines, and data quality across NIH-funded studies to enable reproducible analyses for publications and presentations.

The position emphasizes collaboration with investigators, script development (Python, R, MATLAB, Unix), and generation of reports and visualizations to advance scientific

Qualifications

• Bachelor's degree in data science, psychology, statistics, computer science, or a related field plus four years of related experience.

Responsibilities

• Manage, organize, and maintain research datasets, including MRI, clinical, and behavioral data, ensuring accuracy, integrity, and compliance with data security standards.
• Support implementation and maintenance of neuroimaging data processing pipelines (e.g., fMRI preprocessing workflows) in collaboration with technical staff.
• Conduct data cleaning, preprocessing, and analysis using established statistical and computational methods.
• Write and maintain scripts for data processing and analysis (e.g., Python, R, MATLAB, Unix)
• Collaborate with investigators and external partners to facilitate data access, sharing, and reproducibility of workflows.
• Generate reports, summaries, and visualizations to support research findings and publications.
• Perform related duties and responsibilities as assigned.

Skills

Data handling

Statistical analysis

Python

R

MRI data handling

Education

Bachelor's degree in data science / related field

Tools

FSL

AFNI

SPM

fMRIprep

Job description

Columbia University in New York seeks a Research Data Analyst to manage multimodal research data, including neuroimaging, clinical, and behavioral datasets. This role supports data workflows, analytic pipelines, and data quality across NIH-funded studies to enable reproducible analyses for publications and presentations.

The position emphasizes collaboration with investigators, script development (Python, R, MATLAB, Unix), and generation of reports and visualizations to advance scientific