The Quantitative Biology Institute (QBI) at the University of California, San Francisco, is recruiting six postdoctoral fellows in the area of computational structural biology. The selected candidates will join the QBI coronavirus Research group (QCRG), HIV Accessory & Regulatory Complexes center (HARC), Host-pathogen mapping initiative (HPMI), and/or Cancer Cell Map Initiative (CCMI). These four multi-disciplinary teams of systems and structural biologists, as well as infectious disease experts and clinicians, explore the molecular details of networks underlying pathogen virulence, host immunity, and cancer. By systematically mapping the physical and genetic interaction networks for various diseases and ultimately integrating the network, structure, and functional data within and across disease platforms, we aim to contribute to developing therapies. The postdoctoral fellows will work closely with Professors Andrej Sali and Ignacia Echeverria.
The fellows will lead computational efforts to integrate proteomics, genomics, and structural data to characterize pathogen and host-pathogen protein assemblies: (1) Design and execute methods to integrate data from different sources, including structural, biochemical, genetic, and proteomics data; (2) use integrative modeling approaches to determine the structures and structural ensembles of protein systems involved in pathogenicity and cancer; (3) build iterative modeling approaches that incorporate ligand SAR and protein-ligand interface information for discovery and optimization of ligands of viral proteins. Applicants are expected to communicate and collaborate within the interdisciplinary team environment.
The applicants must have received a Ph.D. degree in computational biology, biophysics, biochemistry, or a related field within the last two years or are about to graduate. They should also have a strong track record of developing and applying molecular modeling and data integration methods. A strong research record is essential, as demonstrated by publications in peer-reviewed scientific journals.
Apply: Please send an email with a cover letter, CV, and a copy of one scientific publication you co-authored to or .