This position will support a fast-paced, externally funded research project focused on the experimental characterization and computational modeling of human vaginal tissue. The individual will be responsible for generating and analyzing experimental data needed to support ongoing computational studies and project milestones.

The work requires specialized expertise in soft tissue biomechanics, including tissue procurement and dissection, mechanical testing, analysis and interpretation of experimental data, and constitutive modeling. Because the experimental work is directly connected to ongoing computational activities, the successful candidate must be able to begin this work with minimal additional training.

The position therefore requires an individual with substantial hands-on experience in soft tissue biomechanics and mechanical testing, preferably including direct experience working with vaginal tissue. The individual must also be able to work independently and collaborate effectively with experimental and computational researchers across a multidisciplinary research team.

• Master’s degree, Bachelor's + 5 years post-bachelor’s experience in mechanical engineering, biomedical engineering, biomechanics, or a closely related field.
• Demonstrated research experience in experimental soft tissue biomechanics.
• Hands-on experience conducting mechanical testing of biological soft tissues.
• Experience with experimental data acquisition, processing, analysis, and interpretation.
• Experience analyzing tissue mechanical behavior and fitting constitutive models to experimental data.

• Extensive hands-on experience with mechanical testing of soft tissues.
• Direct research experience with vaginal tissue, including tissue procurement, dissection, specimen preparation, mechanical testing, data analysis, and interpretation of results.
• Experience with constitutive modeling of vaginal or other soft biological tissues.
• Familiarity with computational mechanics and reduced-order modeling.
• Previous experience collaborating with investigators across experimental and computational research groups.
• Ability to conduct research independently and troubleshoot experimental procedures.
• Strong quantitative, scientific writing, and communication skills.
• Demonstrated ability to work effectively within multidisciplinary research teams.

Exempt: Not eligible for overtime

Restricted

75,000

40

November 20, 2026

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 Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.

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