Systems Programmer/Analyst I
UPMC
Systems Programmer/Analyst I
UPMC
Applications Closed
Posted 7 days ago
Full Time
Pittsburgh, Pennsylvania
In Person
Smart Summary
The role involves preprocessing and quality-assuring multimodal neuroimaging data, alongside developing and maintaining scripts for statistical analysis and automated reporting. Responsibilities also include providing first-line technical support and creating training materials and SOPs for data handling.
We are looking for a Systems Programmer/Analyst I to assist with neuroimaging data, develop statistical analysis scripts, and provide technical support. The role requires a STEM degree and experience in statistical software such as SAS, R, Python, or MATLAB. Experience with functional neuroimaging data, Linux, and GitHub is preferred.
Must Have Skills for ATS
Neuroimaging
Data Preprocessing
Quality Assurance
Statistical Analysis
Scripting
Automation
Troubleshooting
Technical Support
Training Material Creation
SOP Implementation
Python
R
MATLAB
Linux
GitHub
Data Visualization
Job Description
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 position is grant funded.
Responsibilities:
- Neuroimaging & QA Data Analysis: Preprocess, quality‐assure, 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 first‐line 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
UPMC is an Equal Opportunity Employer/Disability/Veteran
UPMC
UPMC is a world-renowned, nonprofit health care provider and insurer committed to delivering exceptional, people-centered care and community services. Headquartered in Pittsburgh and affiliated with the University of Pittsburgh Schools of the Health Sciences, UPMC is shaping the future of health through clinical and technological innovation, research, and education. Dedicated to advancing the well-being of our diverse communities, we provide nearly $2 billion annually in community benefits, more than any other health system in Pennsylvania. Our 100,000 employees — including more than 5,000 physicians — care for patients across more than 40 hospitals and 800 outpatient sites in Pennsylvania, New York, and Maryland, as well as overseas. UPMC Insurance Services covers more than 4 million members, providing the highest-quality care at the most affordable price. To learn more, visit UPMC.com.
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