Posting Summary: The School of Engineering and Applied Science at the University of Virginia seek candidates for a Postdoctoral Research Associate for the Matrix Biology Lab, directed by Dr. Thomas Barker and Cardiac Systems Biology Lab, directed by Dr. Jeff Saucerman, to develop computational models of fibroblast mechanotransduction regulatory networks and feedback control from engineered therapeutic synthetic gene networks. The Matrix Biology and Engineering and Cardiac Systems Biology Labs are integrating their unique mechanobiology, molecular and cell biology experimental expertise and established computational approaches to build novel therapeutic approaches to reversing tissue fibrosis, relevant to Cardio-Pulmonary fibrotic diseases. The Research Associate will perform research on the recently funded NIH Director's Transformative Research Award and work closely with both PIs and a team of quantitative molecular and cell biologists and computational biologists to create a new solution for a currently incurable disease.
The Research Associate will develop methods for integrating mechano-signaling inputs, cytoskeletal dynamics, transcription factor-promoter interactions, transcriptomic, proteomic, and phenotypic data from human lung and cardiac fibroblasts into predictive network models. These methods will be applied to understanding the temporal dynamics of how therapeutically targeting mechanical stimuli, such as tissue stiffness, alter the cell's signaling and phenotypic state.
Candidates must hold a PhD in Biomedical Engineering, Bioengineering, Quantitative Biology or a closely related field by the start date and lead-author publications in computational systems biology, bioinformatics, or computation of synthetic biology networks. Candidates must also have strong communication skills and the ability to work both independently and as part of a large collaborative, transdisciplinary team. Prior experience in mammalian cell signaling, modeling of biological networks, biochemical reaction rate modeling, and MATLAB/R programming is preferred. Some experience with experimental cell biology, signaling or functional genomics is also preferred.
To apply, visit https://jobs.virginia.edu and search on Posting Number 0620107. Complete a candidate profile online; attach a CV, cover letter, and contact information for three references.
For a description of the labs' overall research interests, visit www.matrixbiology.net and http://bme.virginia.edu/saucerman/.
For questions about the position, please contact Dr. Tom Barker via email at firstname.lastname@example.org.
The position will remain open until filled.
The University of Virginia is an affirmative action/equal opportunity employer. Women, minorities, veterans, and persons with disabilities are encouraged to apply.
Founded by Thomas Jefferson, the University of Virginia opened in 1825 as the nation's first public university. A longstanding dedication to preeminence in both scholarship and teaching; top ranking in global satisfaction, collegiality and work/family issues on the COACHE survey of early career faculty; a commitment to excellence that is integrally connected with diversity and a broad array of ben...efits make the University of Virginia a prime choice for both faculty and staff. The University of Virginia is located in the small cosmopolitan city of Charlottesville near the Blue Ridge Mountains, 70 miles from Richmond and 110 miles from Washington, D.C. The University of Virginia remains the No. 2 best public university in the 2013 edition of the U.S. News and World Report rankings. In the 14 years since U.S. News began ranking public universities as a separate category, U.Va. has ranked either No. 1 or No. 2. U.Va. continues to rank in the Top 25 among the best of all national universities, public and private.