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Work type:Research Faculty
Senior management: College of Engineering
Department: Biomedical Engineering & Mechanics
Location:Blacksburg, Virginia
Categories:Engineering, Research / Scientific
Job Description
The Kevin P. Granata Biomechanics Laboratory is seeking a postdoctoral researcher to join a dynamic multi-center, interdisciplinary team of researchers to develop a prognostic model of second Anterior Cruciate Ligament (ACL) injury risk. The study team involves researchers and clinicians as part of the ACL-CARE consortium who are dedicated to improving access to quality care for those who have sustained and ACL injury with the goal of decreasing the risk of a second injury following return to unrestricted physical activity. Specifically, the post-doctoral researcher would learn essential skills in clinic based biomechanical testing and analysis as well as the longitudinal tracking of adolescent patients following ACL reconstruction. The position will involve mentoring graduate and undergraduate students in the Granata Lab, working closely with other researchers on lab and clinic-based biomechanics assessments, collaboration with faculty within the Department of Orthopaedic Surgery at Carilion Clinics, members of the study team at The University of North Carolina at Chapel Hill, and collaborators at High Point University. In addition, this position will involve the coordination of a multi-center study that encompasses clinical and biomechanical assessment as well as the review of medical records. The individual in this position will also be expected to assist with grant proposal preparation including the development and submission of a K99/R00 application. In addition, the position will include the publication of research findings in peer-reviewed journals and presentation of research findings at national and international conferences.
Anticipated start date: Fall 2024
Required Qualifications
– PhD in biomedical sciences, biomedical engineering, kinesiology, athletic training, physical therapy, or a related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
– Experience in biomechanics data collection methods including and understanding of the following data collection methods: motion capture, in-shoe load measurements, and force plates.
– Must work well in a fast-paced team setting and have experience with mentoring more junior researchers.
– Publication record in peer-reviewed journals and giving presentations at national scientific conferences.
– Willingness to work with adolescent clinical patients and physicians.
Preferred Qualifications
– Expertise in programing (MATLAB or python)
– Working knowledge of statistical analysis (R studio working knowledge is preferred).
– Clinical assessment of sports injuries and previous work in adolescent populations.
Appointment Type
Restricted
Salary Information
Starting at 56,484; commensurate with experience
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 Jon Snider at [email protected] during regular business hours at least 10 business days prior to the event.
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