Virginia Tech, founded in 1872 as a land-grant institution, is currently ranked as a Top 25 Public University by US News & World Report and a Top 25 Public Research University by the National Science Foundation. Through a combination of its three missions of learning, discovery, and engagement, Virginia Tech continually strives to accomplish the charge of its motto: Ut Prosim (That I May Serve). As the Commonwealth’s most comprehensive university and its leading research institution, Virginia Tech serves a diverse population of 30,000+ students and 8000+ faculty and staff from over 100 countries, and is engaged in research around the world. Invent the Future at Virginia Tech.
The Virginia Bioinformatics Institute (VBI) at Virginia Tech performs world-class informatics research in life sciences, social sciences, and human health by integrating theory, modeling and simulation with computational and experimental science in a transdisciplinary, team science research environment. The Institute’s mission is to answer our most pressing current challenges, especially those posed to human health, security, and sustainability. Our research focuses on information biology, a cutting-edge approach for studying biological systems from the microbiome to massive human-created networks.
VBI is seeking a postdoctoral associate with experience in single cell imaging to join an interdisciplinary team exploring the molecular basis of cell cycle checkpoints in budding yeast. The team consists of molecular biologists, bioinformatics specialists, and mathematical modelers. The emphasis of this position will be on the collection and analysis of experimental data to build stochastic model of the spindle assembly checkpoint and the DNA damage checkpoint in Saccharomyces cerevisiae.
The successful candidate will have:
- Ph.D. degree in a relevant discipline such as bioengineering, electrical engineering, physics, biophysics or related field
- Publications in peer-reviewed journals
- A strong background in imaging, microscopy, image processing, and data analysis
- Experience applying quantitative methods to a biological problem, preferably in cell biology
- Good interpersonal and communication skills, effective work habits, and the ability to work independently as well as part of a team
Preferences will be given to candidates possessing any of the following:
- Proficiency in MATLAB
- Experience of developing complex software applications
- Knowledge and experience in the areas of cell cycle regulation.
- Experience in yeast genetics
In accordance with university policy for all non-student position, this position will require a conviction check.
Compensation is commensurate with experience.
To learn more about VBI, please visit us at www.vbi.vt.edu.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, gender, gender identity, gender expression, national origin, political affiliation, race, religion, sexual orientation, genetic information, veteran status, or any other basis protected by law. For inquiries regarding non-discrimination policies, contact the executive director for Equity and Access at 540-231-8771 or Virginia Tech, North End Center, Suite 2300 (0318), 300 Turner St. NW, Blacksburg, VA 24061.
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