Postdoctoral Research Associate
San Francisco, CA
Job posting number: #7057664
Posted: June 11, 2019
Application Deadline: Open Until Filled
Job DescriptionThe Rosenberg Lab at the University of California, San Francisco is seeking to appoint a Postdoctoral Research Associate with a background in microbiology to undertake research to develop new live-cell tracers to track infections in humans.
Conventional radiology cannot distinguish sterile inflammation from active infection with bacterial pathogens. We are a part of an NIH funded collaboration to develop new tools to solve this problem. Some of our strategies have shown promise for rapid translation into clinical practice (see for example https://doi: 10.1038/s41598-017-08415-x). Our tracers will also be excellent tools to study the metabolic states of living bacteria in model infections. We have developed cutting edge techniques to manipulate pathogens (see https://doi.org/10.1038/s41564-018-0327-z and https://www.biorxiv.org/content/10.1101/618637v1), which we plan to deploy in our efforts.
We are located at the state of the art Mission Bay campus of UCSF. The lab is affiliated with the Chan Zuckerberg Biohub providing additional technological and intellectual support to the project.
Applicants should hold a PhD or MD, or be near completion of their degree, in a relevant subject area. The applicant should have relevant research experience in microbiology and molecular genetics and have a proven research record using bacterial genetic manipulations and strong skills in molecular biology. The applicant should also be highly motivated with exceptional communications skills and the ability to work with a dynamic team.
This full-time position is fully funded by the NIH and DARPA.
The continued success of our University depends heavily on its effort to effectively utilize the talents of all qualified people. The University of California, in accordance with applicable Federal and State law and University policy, does not discriminate on the basis of race, color, national origin, religion, sex, gender identity, pregnancy, physical or mental disability, medical condition (cancer related or genetic characteristics), ancestry, marital status, age, sexual orientation, citizenship, or service in the uniformed services.