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- MRI Data Programmer/Analyst
Description
We are seeking a highly motivated imaging programmer/analyst to work on MRI processing pipelines and data analyses at the Laureate Institute for Brain Research (LIBR). The successful candidate will have two areas of responsibility: 1) programming and maintaining multimodal imaging processing pipelines (raw data standardization, preprocessing, and postprocessing), and 2) analyzing and interpreting high-dimensional multimodal MRI neuroimaging data using both standard and novel methods. This is an exciting opportunity to work on cutting-edge research and to contribute to the development of new methods for analyzing and interpreting these data to gain insights into causes of psychiatric conditions
The graduate level programmer/analyst will work to support the institute with on-demand imaging processing, as well as large scale population imaging data analytics led by the Population Neuroscience and Genetics Center at LIBR. This will require high familiarity with end-to-end process of MRI analysis, from acquisition, processing, quality controls and feature extraction to statistical inference. We strongly prefer a candidate who has prior experience analyzing and interpreting task-based fMRI as well as imaging data harmonization and version-controlled pipeline/data management across multiple imaging studies.
This is an on-site position in Tulsa OK.
KEY Responsibilities:
Maintain and manage MRI/fMRI image data preprocessing pipelines
Develop and implement MRI data quality control programs and procedures
Provide consultation on MRI imaging data analytics
Contribute to scientific publications and presentations
Collaborate with interdisciplinary teams of researchers, clinicians, and technical staff
Requirements
Qualifications
PhD or MS in Neuroscience, Computer Science, Bioengineering, or related field
Extensive experience in neuroimaging analysis
Experience in imaging data engineering
Pipeline management across multiple programming languages, including Python, LINUX shell, MATLAB, R programming, and AFNI
Personal qualifications
Excellent collaborative, communication, and presentation skills
Scientifically self-motivated and creative
Ability to work both independently and in structured groups
Open-minded and analytical personality