Research Associate in Biomedical Engineering

The Department of Biomedical Engineering at the University of Virginia seeks a Research Associate to work in the Papin laboratory focusing on metabolic network modeling.

The applicant will be expected to interact with graduate students, perform experiments and computational analysis and contribute to publications.

QUALIFICATIONS : A Ph.D. degree in Biomedical Engineering or related field. The following experience is preferred: metabolic network modeling, metabolomics experiments; strong oral and written communication skills; and the ability to interact collegially with undergraduate and graduate students.

APPLICATION PROCEDURE : Apply online at https://uva.wd1.myworkdayjobs.com/UVAJobs and attach a cover letter, a curriculum vitae, and contact information for three references.

Please note that multiple documents can be uploaded in the box .

APPLICATION DEADLINE: Review of applications will begin on 10 days from posting date, but the position will remain open until filled. The University will perform background checks on all new hires prior to employment.

This is a one-year appointment, and the appointment may be renewed contingent upon available funding and satisfactory performance.

For questions about the position, please contact Jason Papin, Professor, papin@virginia.edu.

For questions regarding the application, please contact Rich Haverstrom, Faculty Search Advisor, at rkh6j@virginia.edu.

For more information on the benefits available to research associate at UVA, visit hr.virginia.edu/benefits.

COVID Vaccination Requirement and Guidelines

Please visitthe UVA COVID-19 Job Requirements and Guidelines webpageprior to applying for current information regarding vaccination requirementsandguidelines for employment at UVA.

The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.