Job Listing
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| Job ID: 14076212 |
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| Job Location: |
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| How to Apply: | To see employer contact information, log in or register. |
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| Job Title: | Neuroimaging Research Scientist (Researcher 6) |
| Work Type: | Work Days: Work Vary: Yes , Shift: Other, Hours Per Week: 40, Work Type: Regular |
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| Salary Offered: | Unspecified |
| Benefits: | Unspecified. |
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| Physical Required: | Unspecified |
| Drug Testing Required: | Unspecified |
| Education Required: | Bachelor's Degree |
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| Experience Required: | Unspecified |
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| Required Skills: | Please see the job description for information about required job skills. |
| Preferred Skills: |
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| Job Description: |
Job ID361257
LocationTwin Cities
Job FamilyResearch-Researchers
Full/Part TimeFull-Time
Regular/TemporaryRegular
Job Code9742R6
Employee ClassAcad Prof and Admin
About the Job
We are seeking a highly skilled and experienced Research Scientist (Researcher 6) to join the Ziad Nahas Interventional Psychiatry Lab, investigating some of the most innovative treatments for psychiatric conditions. As a neuroimaging Research Scientist, you will play a crucial role in advancing our research endeavors in clinical trials for treatment-resistant depression, specifically related to neuroimaging data acquisition and analysis.
Job Duties/Responsibilities:
Neuroimaging code and technique development, including precision functional mapping (30%):
*Utilize programming languages such as MATLAB, BASH, and command line scripting to develop and maintain code repositories. Experience with version control systems like Git/GitHub is essential.
*Development of neuroimaging protocols for acquisition and analysis. Proficient in neuroimaging software such as Brainsight, Brain Vision software, FreeSurfer, FSL, and others for MRI image analysis and processing. Proficiency in working with surface-based cifti file formats (https://www.humanconnectome.org/software/connectome-workbench) is highly preferred.
*Enhance precision functional mapping techniques for mental health conditions. Be familiar with existing methods within the scientific literature for identifying neural networks using resting state fMRI data, and be able to implement these methods for personalized targeted therapies.
Neuroimaging analysis (40%):
*Use neuroimaging software to create well documented data analysis pipelines for immediate surgical preparation and longer term statistical exploration. Requires competency in a range of software and statistical tools including. Statistical modeling: Rstudio, SPSS, Sigmaplot, Structural Equation Modeling (SEM).
*Create 3D models of neuroimaging data using software such as Blender, and CAD data visualization and analysis. Integrate real space 3D models to simulate brain stimulation data.
Resource Management (20%):
Manage and utilize various research resources, including but not limited to:
*Utilizing high performance computing clusters for distributed parallel processing.
*Proficiency with SLURM job scheduler.
*Familiarity with Amazon s3 buckets for data storage/retrieval.
*Working with large datasets and large neuroimaging cohorts.
Publications and Presentation (10%):
*Create figures and methodology for presentations and publications related to neuroimaging
*Develop research questions for publications related to studies and primary duties
*Attend and present research at conferences as available
Qualifications
Required Qualifications:
Required Qualifications:
*A Ph.D. or equivalent degree in a relevant field such as Neuroscience, Physiology, Biomedical Engineering, or a related discipline with substantial research and publication record.
*Proven track record of research accomplishments demonstrated through publications and presentations.
*Proficiency in various laboratory techniques including: Neuroimaging: MRI image analysis, BIDS neuroimaging specifications
*Strong analytical and problem-solving skills.
*Excellent communication and teamwork abilities.
*Ability to work independently and manage multiple projects simultaneously.
Preferred Qualifications:
*Strong understanding of Human neurophysiology and the biophysics of neuromodulation.
*Familiarity with Mental Health and neurological assessments.
*Experience handling confidential data, including HIPAA-protected data.
*Proficiency in various laboratory techniques including:
a. Neuromodulation: Transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS), cortical stimulation.
b. Physiological measurement techniques: Electroencephalography (EEG), Electromyography (EMG).
About the Department
The Department of Psychiatry & Behavioral Sciences consists of an outstanding team of researchers, clinicians, and educators who provide world-class expertise in psychiatric illness, treatment, scholarship, and scientific discovery.
Our mission is to:
Create and disseminate new knowledge in the science of mental health
Provide effective and innovative clinical care programs to alleviate the suffering of mental illness and promote mental resilience
Train the next generation of interprofessional experts who will be leaders in Minnesota and beyond
Engage in compassionate and vigorous outreach and advocacy on issues relevant to psychiatric illness, treatment, and research
You can find more information on our website at .
Benefits
Working at the University
At the University of Minnesota, you'll find a flexible work environment and supportive colleagues who are interested in lifelong learning. We prioritize work-life balance, allowing you to invest in the future of your career and in your life outside of work.
The University also offers a comprehensive benefits package that includes:
Competitive wages, paid holidays, and generous time off
Continuous learning opportunities through professional training and degree-seeking programs supported by the
Low-cost medical, dental, and pharmacy plans
Healthcare and dependent care flexible spending accounts
University HSA contributions
Disability and employer-paid life insurance
Employee wellbeing program
Excellent retirement plans with employer contribution
Public Service Loan Forgiveness (PSLF)
Financial counseling services
Employee Assistance Program with eight sessions of counseling at no cost
Please visit the for more information regarding benefits.
How To Apply
Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.
Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.
To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.
Diversity
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U:
Employment Requirements
Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from... For full info follow application link.
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu.
Refer to ID 79420982 when applying |
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