Drs. Jillian Lee Wiggins (San Diego State University) and Lea Dougherty (University of 
Maryland College Park) and the Translational Emotion Neuroscience and Development 
Lab in the Department of Psychology at San Diego State
University (SDSU) in San Diego, CA are seeking to hire a full-time data analyst for an 
NIMH-funded research project examining neural mechanisms of mental disorders
 across childhood and adolescence, using functional and structural MRI methods.

The data analyst will be involved in the analysis of neuroimaging data (especially
 functional MRI) using standard group analysis, in addition to advanced methods 
including machine learning, graph theory/network analysis, and neural networks. The
 successful candidate will also assist with adapting fMRI paradigms and may periodically
 perform MRI operator duties (training in this will be provided). The data analyst will be
 expected to be a co-author in multiple research publications.

The ideal applicant will have a Master’s degree in Engineering/Computer Science (or 
related field) and experience with MRI data acquisition and analysis (AFNI, SPM, FSL,
Freesurfer, etc.). Computer programming experience is necessary (Python, Matlab, R,
etc.), including familiarity with Linux environments. Knowledge of statistical methods is
 highly desirable. Strong organization and problem-solving skills are essential, as is the 
ability to work independently.

Salary will be competitive, commensurate with experience, and include health benefits.
 The position is currently remote (teleworking) but will transition to in-person as COVID-
19 restriction abate.

Interested individuals should email a cover letter, CV, and names and contact and 
contact information of 3 references to:

Jillian Lee Wiggins ( and
 Lea Dougherty (

Please include all documents in a single pdf file
 and include your last name in the file (i.e., “LASTNAME.pdf”). Application review will
 begin immediately.

SDSU is an equal opportunity affirmative action employer with a commitment to racial,
 cultural, and gender diversity. Women and minorities are encouraged to apply.