Rush University Medical Center Student Intern- Orthopedic Surgery: MRI-based 3d Modeling in Chicago, Illinois
Student Intern- Orthopedic Surgery: MRI-based 3d Modeling
Active Temporary FT (72 to 80 hours per pay period)
At Rush University Medical Center, we are committed to advancing scientific medical knowledge through research.At RUMC we are expanding scientific frontiers in human disease to improve diagnosis and treatment.Are you looking to be a part of the exciting, always evolving and expanding new developments in research here at Rush University Medical Center?
If this describes you, you may be the right candidate for the Student Intern - MRI-based 3d Modeling position with the Department of Orthopedic Surgery.
Position Highlights :
Under direction of the Principal Investigator or his/her designee and in collaboration with other members of the research team, the Intern will process imaging data and create 3d models based on MRI images of the human hip under an established research design. . The intern will then use programming/scripting (Matlab and/or Python) techniques to analyze the resulting 3d models.
The individual who holds this position exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures.
Creates 3d Models based on MRI using commercially available software for Segmentation (experience with Materialise Mimics preferred)
Writes own routines in Python/Matlab to automate the segmentation process and to analyze the resulting models.
Enters study-related data into computer databases.
Maintains and submits primary and summary documentation of laboratory work to principal investigator or designee.
Discusses problems with testing or research design with supervisor.
Attends relevant meetings of the research team.
Performs other duties as assigned by the Principal Investigator or designee.
Required Position Qualifications:
Bachelor's degree in Bioengineering/ Mechanical Engineering/ Electronics Engineering/ Medical Physics required with a focus/career interests on/in imaging and/or biomechanics
Imaging experience preferred
Working knowledge with MRI preferred
Programing experience with Matlab and/or Python strongly preferred
College course work in image processing, principles of magnetic resonance imaging, biomechanics, anatomy, programming, or related science; coursework must have included some laboratory components.
Demonstrated effective interpersonal, oral, and written communication skills.
Excellent organizational skills and attention to detail.
Demonstrated ability to multi-task, remain flexible, and manage time effectively.
Ability to perform procedures requiring manual dexterity and repetitive motions.
Analytical skills required to write scientific reports.
Proficiency with personal computers including Microsoft Office.
Preferred Position Qualifications:
This position could be a good fit for current medical students in good standing with their program or recent engineering/science bachelor graduates looking to go on a research gap year.
Rush was recently ranked among the top 20 hospitals in the nation by U.S. News & World Report.
Rush is one of thefirst medical colleges in the Midwest and one of the nation's top-ranked nursing colleges, as well as graduate programs in allied health, health systems management and biomedical research.
As an academic medical center, Rush University Medical Center in Chicago, Illinois, is committed to advancing medical knowledge through research. Investigators at Rush are involved in more than 1,600 projects, including hundreds of clinical studies to test the effectiveness and safety of new therapies and medical devices, as well as to expand scientific and medical knowledge.
The Association for the Accreditation of Human Research Protection Programs (AAHRPP) has awarded Rush full accreditation for three years. Rush is one of the first academic medical centers in Illinois to receive this accreditation.
Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
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