Research Support - Laboratory/Non-Laboratory, Staff/Administrative
The Department of Psychiatry at the University of Minnesota is seeking a Neuroimaging Analyst to join our new 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 overall goal of the Discovery Program is to research and develop personalized care based on quantifiable characteristics of each patient. The Neuroimaging Analyst 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 Neuroimaging Analyst will be involved in all aspects of neuroimage, including collection of MRI data, assembly of comparison MRI data, development of computer modeling, creation of processing workflows and development of statistical analysis and report generation that produces quantitative metrics from computational models of the brain. The candidate will oversee, organize, and analyze the MRI data collected on patients within the Discovery Program. S/he will assemble, organize, curate and analyze comparison data to create population distributions for imaging metrics. S/he will create, test, debug and verify new and improved workflows as new ideas are proposed and additional data is added to the pool. The results from these workflows for the individual Discover Program patients will then be compared to the distribution of the metrics across all data, yielding a patient brain imaging profile. The Neuroimaging Analyst will be part of the team that develops and applies complex algorithms which integrate these brain imaging metrics with other patient specific quantifiable measures to improve care.
The candidate will benefit from an excellent work environment. The Department of Psychiatry at the University of Minnesota has an extensive track record of using MRI to better understand the brain in mental health. The candidate will have access to computation resources from the Minnesota Supercomputer Institute. MRI data collection will occur at the Center for Magnetic Resonance Research, one of the premier MRI research centers in the world, and the Neuroimaging Analyst will have the opportunity to collaborate with the world class team of researchers at CMRR and within the Department of Psychiatry. The successful candidate will join a growing group of healthcare providers and researchers, who are 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. The analyst will work closely with Discovery Team members and other members within the Department of Psychiatry to advance the goals of the project.
MRI Imaging - 70% • 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.
Study Coordination - 30% • Determine and apply image quality metrics to insure rejection of unusable data. • Develop, implement and verify analysis pipelines for imaging data. • Develop analysis methods and algorithms that further the goal of personalized medicine in mental health • Communicate the methods developed and implemented for the project to colleagues, at conferences and in publications.
The University of Minnesota offers a comprehensive benefits package including:
Competitive wages, paid holidays, vacation and sick leave
Low cost medical, dental, and pharmacy plans
Health care and dependent daycare flexible spending accounts
Excellent retirement plans with employer match
Disability and employer paid life insurance
Wellbeing program with reduced insurance premiums
Tuition reimbursement opportunities covering 75%-100% of eligible tuition
Student loan forgiveness opportunity
Opportunities for growth and promotion
Employee Assistance Program
For more information regarding benefits: https://humanresources.umn.edu/sites/humanresources.umn.edu/files/2018_tcd-cslr-75100-ben-0105-7.pdf
All required qualifications must be documented on application materials.
Required Qualifications: • BA/BS plus at least 4 years of experience or advanced degree plus 2 years of experience. Will also accept a combination of related education and work experience to equal 8 years. • Demonstrated/documented excellent analytical and statistical skills • Ability and willingness to work safely within the MR environment • Experience with scientific neuroimaging data processing using standard packages (HCP, FSL, AFNI, etc) • Proficiency in at least one programming language (Python, MATLAB, Java, C++, etc) • Proficiency with the Linux operating system • Demonstrated excellent interpersonal and organizational skills • The ability to articulate technical processes verbally and in writing • Highly motivated to learn new technical skills • Able to lift and carry 25 pounds on a regular basis • Willing and able to work some evening and weekend hours to cover scans, as needed
Preferred Qualifications: • Master’s degree or higher in a science or engineering field or equivalent experience in MR neuroimaging data analysis • Experience working in a team environment with people with diverse expertise • Significant research experience and ability to work independently • Experience integrating neuroimaging data with demographic, diagnostic and other patient centric information
Internal Number: 327198
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.