Research - Laboratory/Non-Laboratory, Staff/Administrative
The Department of Psychiatry at the University of Minnesota is seeking a postdoctoral associate to join our Discovery Program initiative. The successful candidate will join a team that will use brain imaging and other methods to advance the understanding of and improve treatment in mental health conditions such as psychosis, depression, and addictions. The goal of the Discovery Program is to research and develop methods to deliver personalized care based on quantifiable characteristics of each patient. The postdoctoral fellow will develop, implement and oversee the neuroimaging work flows for the Discovery Program. These work flows will quantify imaging metrics that meaningfully contribute to the patient’s profile, contributing to personalized care for the individual. The postdoctoral fellow will be involved in all aspects of neuroimaging, including collection of MRI data, assembly of normative MRI data, development of computer modeling, creation of processing workflows, development of statistical analysis and report generation. The goal of this work is to produce quantitative metrics from computational models of the brain.
The successful candidate will join a growing group of healthcare providers and researchers. Our team is committed to the task of advancing precision psychiatry and individual care informed by the integration of quantified metrics determined from brain MRI, EEG, clinical and cognitive testing, and psychiatric assessment. She/he will work closely with Discovery Team members and other members within the Department of Psychiatry to advance the goals of the project.
Perform and oversee collection of research MRI data on patient and control populations
Assemble and organize relevant and available MRI and other data for use in determining population norms for imaging metrics.
Determine and apply image quality metrics to insure rejection of unusable data.
Develop, implement and verify analysis pipelines for imaging data.
Develop analysis methods that further the goal of personalized medicine in mental health
Write or help prepare publications, grants, protocols and technical reports.
Communicate and present results at seminars and conferences.
Creation of a subject specific report for the clinician, framing the results in terms of normative values for personalized care.
A Ph.D. in physics, biological sciences, computer science, electrical engineering, psychology or related fields.
Ability to work safely within the MR environment
Experience with scientific neuroimaging data processing using standard packages (HCP, FSL, AFNI, etc)
Excellent interpersonal and organizational skills
Able to lift and carry 25 pounds on a regular basis
Experience working in a team environment with people with diverse expertise
Proficiency in at least one programming language (Python, MATLAB, Java, C++, etc)
Proficiency with the Linux operating system
Significant research experience and ability to work independently
Experience integrating neuroimaging data with demographic, diagnostic and other patient centric information
Internal Number: 329856
About University of Minnesota, Twin Cities
The University of Minnesota, founded in the belief that all people are enriched by understanding, is dedicated to the advancement of learning and the search for truth; to the sharing of this knowledge through education for a diverse community; and to the application of this knowledge to benefit the people of the state, the nation, and the world.