Data Analyst Position at University of Miami Miller School of Medicine
The Gabbay Laboratory, located within the Department of Psychiatry & Behavioral Sciences at the University of Miami Miller School of Medicine, is seeking well-qualified applicants for the role of data analyst. This position will focus on processing human neuroimaging datasets, including anatomical and functional magnetic resonance imaging (MRI), MR spectroscopy, and related biological measures.
Candidates should hold an MS or equivalent degree in the fields of computer science, neuroscience, psychology, radiology, engineering, biostatistics, or a related field. Candidates with a BS-level degree and significant prior experience in a similar role will also be considered on a case-by-case basis. Proficiency with one or more major programming languages used in bioscience (i.e. MATLAB, Python, R) as well as Unix/Linux environments is expected. Familiarity with neuroimaging software (e.g. FSL, AFNI, SPM, Freesurfer, Caret, Connectome Workbench) and with scientific/cluster computing is preferred. The primary responsibility for this role will be to analyze neuroimaging data from multiple ongoing and recently concluded research projects; additional tasks will entail assisting with MRI data collection and manuscript drafting.
The data analyst position will be supervised by Vilma Gabbay, MD and Benjamin Ely, PhD. Our lab is dedicated to the study and treatment of mood, anxiety, and substance use disorders in high-risk populations (e.g. adolescents, people living with HIV, cannabis users) using innovative neuroimaging and immunological methodologies. The neuroimaging program features high-resolution data acquisition and analysis techniques modeled on the Human Connectome Project (HCP) and is committed to the highest standards for magnetic resonance imaging. The lab is funded by four ongoing NIH R01 neuroimaging studies (R01MH120601, R01DA054885, R01MH128878, and R01MH131207) and several smaller grants, providing unparalleled funding for active and exploratory studies. Project abstracts with further details can be found on NIH RePORTER.
Resources available on-campus and through long-standing collaborations include multiple research-dedicated 3T MRI scanners with cutting-edge accelerated and multi-echo fMRI sequences; high-performance scientific computing clusters; and an extensive library of analytic and statistical software. The PIs are fully committed to fostering a productive mentorship environment, with opportunities for career advancement including manuscript coauthorship, conference attendance, and training in grant writing.
Please send a CV, statement of interest, and contact information for three references to axo833@med.miami.edu. University of Miami is an equal opportunity employer, and all qualified candidates will be given equal consideration. Priority will be given to candidates available to start sooner. Compensation will be proportional to experience and will follow standard rates posted by University of Miami.