Neuroimaging & QA Data Analysis: Preprocess, qualityassure, and analyze multimodal neuroimaging datasets; ensure data integrity and reproducibility. Statistical Scripting & Automation: Develop, test, and maintain scripts (e.g., Python, R, MATLAB) for statistical analyses, batch processing, and automated reporting. Technical Support & Troubleshooting: Serve as firstline support for software, hardware, and network issues; assist faculty, postdocs, and students with technical challenges. Training & SOP Implementation: Create and deliver user guides and workshops; develop, document, and enforce standard operating procedures for data handling and compliance. Collaboration & Project Coordination: Partner with the PI, collaborators, research staff, and trainees to translate study requirements into technical solutions and track system deliverables. A four-year STEM degree such as Data engineering, Computer science, Bioengineering or related field preferred. Advanced SAS programming skills and experience in other statistical software, such as R, Python, Stan, Julia, and MATLAB. Understanding of statistical models and hypothesis testing, experience in data visualization tools like Matplotlib, Seaborn, and ggplot. Experience with functional neuroimaging data, Linux operating systems, and version control platforms such as GitHub, are preferred. Licensure, Certifications, and Clearances: Act 31 Child Abuse Reporting with renewal Act 33 with renewal Act 34 with renewal Act 73 FBI Clearance with renewal