Systems Programmer/Analyst I

UPMC • Pittsburgh, PA

7d • Onsite

About The Position

The Systems Programmer/Analyst I will assist the Translational Neuropsychopharmacology and Neuroimaging Lab by preprocessing and quality‐assuring multimodal neuroimaging data; developing and maintaining scripts for statistical analysis and automated reporting; troubleshooting technical issues and providing tier‐1 support to faculty, postdocs, and students; creating training materials and implementing SOPs for data handling and compliance; and collaborating with the PI, research staff, and trainees to translate study requirements into reliable, reproducible technical solutions. This is a full time, in-person role with a non-tentative hourly schedule. This position is grant funded.

Requirements

• Bachelor’s degree in Computer Science, Biomedical Engineering, Computational Biology, Neuroscience, or a related field from an accredited university.
• Advanced Python programming for modular software design and scientific data processing (NumPy, SciPy, Pandas).
• Working proficiency in R for data/statistical analysis, linear mixed-effects modeling, and data visualization (dplyr, tidyr, lme4, ggplot2).
• Direct experience handling neuroimaging file formats (NIfTI, DICOM, BIDS).
• Working proficiency in core neuro tools like FreeSurfer, FSL, SPM, and HCP.
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Responsibilities

• Preprocess, quality‐assure, and analyze neuroimaging data; ensure data integrity and reproducibility.
• Develop, test, and maintain scripts (e.g., Python, R, MATLAB) for statistical analyses, batch processing, and automated reporting.
• Serve as first‐line support for software, hardware, and network issues; assist faculty, postdocs, and students with technical challenges.
• Create and deliver user guides and workshops; develop, document, and enforce standard operating procedures for data handling and compliance.
• Partner with the PI, collaborators, research staff, and trainees to translate study requirements into technical solutions and track system deliverables.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level