LPS is recognized by TLR4 to activate immune responses through the TRIF or MyD88 pathways. We are interested to identify the exact LPS modifications Salmonella utilizes to modulate the TRIF pathway, study the interaction of modified and unmodified LPS with host molecules, and characterize the results of this interaction in terms of the host immune response. This will illuminate not only an important aspect of host pathogen interactions but also help to better understand the molecular mechanism activating the separate pathways downstream of TLR4, as well as their separate contributions to pathogen clearance.
The Avraham Lab is seeking highly creative and driven postdoctoral fellows interested in working at the intersection of infectious disease and single cell data analysis. A major goal of the lab is the development of innovative computational methods that advance our understanding of the early events of infection at a molecular and cellular level. As part of this effort, we employ a variety of genomics approaches, including high throughput sequencing and emerging single cell profiling technologies.
The successful applicant will have completed (or be close to completing) a Ph.D. or M.D./Ph.D. in an applied quantitative discipline, such as computational biology, bioinformatics, or biostatistics, with a strong interest in either basic or translational research. A strong background in machine learning and predictive modeling is desired, as is previous experience in common programming languages (e.g., R, Python) and genomic data analysis. Prior evidence of ambition, productivity, and creativity are a must, and a track record of conference presentations and first author peer-reviewed publications will be expected.