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MR Research Technologist
4 months ago
Job no: 529610
Work type: Staff
Senior management: College of Science
Department: Psychology
Location: Blacksburg, Virginia
Categories: Research / Scientific
Job Description
At Virginia Tech, we are at the forefront of innovative research in the field of Magnetic Resonance Imaging (MRI) for applications relating to health outcomes and cognitive neuroscience. Across several colleges, researchers are conducting brain imaging studies to understand development, aging, attention, memory, and more. This position would reside in the Department of Psychology in the College of Science, reporting to the Department Chair.
As an MR Research Technologist specializing in scan operation, you will play a crucial role in the success of our research projects. You will be responsible for assisting researchers as needed, performing basic equipment maintenance, coordinating service calls for advanced maintenance, organizing and maintaining materials and consumables, independently operating MRI scanners, monitoring the quality of acquired images, and maintaining protocols for appropriate use of shared equipment and research space. You will develop and implement a training sequence for new researchers using the scanner, including scan procedures and safety protocols. Additionally, you will collaborate closely with researchers to optimize scan protocols and troubleshoot technical issues.
Required Qualifications
• BA or MA degree in a relevant field (e.g., biomedical engineering, radiology, physics, neuroscience).
• Experience operating MRI scanners and scanning human research participants.
• Strong technical skills and proficiency in image acquisition techniques.
• Experience in the management of computer systems and data transfer.
• Excellent problem-solving abilities and attention to detail.
• Ability to work effectively both independently and as part of a team.
• Commitment to safety and adherence to research and maintenance protocols.
Preferred Qualifications
• Experience with Pulse Sequence Programming on the Siemens Platform (IDEA) and C++.
• Experience in image reconstruction.
• Experience with data transfer to high performance computing systems and server management.
Pay Band
4
Appointment Type
Restricted
Salary Information
Commensurate with experience
Review Date
5/20/24
Additional Information
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact Michelle Wooddell at mwooddel@vt.edu during regular business hours at least 10 business days prior to the event.
Advertised: May 6, 2024
Applications close:
