MRI Data Programmer​/Analyst

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 (LI ). 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 LI . 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

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
• Excellent collaborative, communication, and presentation skills
• Scientifically self-motivated and creative
• Ability to work both independently and in structured groups