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Department of Medicine: Allergy and Infectious Diseases has an outstanding opportunity for a Research Scientist/Engineer 3.
The purpose of this position is to lead the BSL3 and ABSL3 work performed in the Shah lab, which studies how cellular and environmental conditions combine with genetic predisposition to induce immune pathology and M. tuberculosis spread.
The Shah Lab has identified polymorphisms in a critical stress response gene, TOLLIP, that alters the cytokine response within macrophages that impact the innate immune response and TB susceptibility in human populations. Our lab is dedicated to pursuing how these genes and others like them influence TB pathogenesis using a combination of human population-based methods and mouse knockout studies.
To complement these population-based studies, the lab uses genetic editing of cell lines and primary cells as well as molecular biology techniques to pinpoint polymorphisms of interest. The goal of these studies is to determine critical molecular pathways that may be novel targets for therapeutic intervention.
Impact to the University:
The Shah lab is interested in understanding the factors that influence host immune responses to TB. In particular, we are focused on ways that macrophages, the primary cell infected by M. tuberculosis, can maintain function during prolonged infection. To this end, the Shah Lab has identified the critical stress response gene, TOLLIP, as a TB susceptibility gene that influences macrophage function over time. Our lab is dedicated to pursuing how these genes and others like them influence TB pathogenesis using a combination of human population-based methods and small animal models.
Additionally, our lab has projects to study how pregnancy, a common states of immune modulation, influences host immune responses to M. tuberculosis antigen, with the goal of understanding the relative risks of TB during pregnancy, but also how certain immune changes during pregnancy can be compensated for until birth.
50% Culture work
-Oversee work conducted in animal BSL3 facility and perform in vivo M. tuberculosis immunology experiments
-Tissue and bacterial culture
• RNA extraction and protein quantitation using ELISA and Western blotting
40% Lab Management
• Animal colony and lab management
• Development and performance of new immunology assays for our laboratory benefit
• Supervise junior staff in human and mouse innate and adaptive immunology experiments
10% Analysis and Reporting
• Data analysis and preparation of reports, including oral presentations and manuscripts
• Supervising junior staff in human and mouse innate and adaptive immunology experiments.
• Bachelor's Degree in Biology, Biochemistry, Microbiology, or related field.
• Minimum three years of job-related experience required.
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
• Advanced mutiparameter flow cytometry analysis
• Tissue culture, including preparing, culturing, transfecting and stimulating cells in vitro.
• Cryopreservation and thawing of cells.
• Purification of white blood cell fractions from human blood.
• ELISA and Western blotting techniques
• CRISPR-Cas9 gene editing
• Basic microbiology including culture, DNA extraction, purification, and infection in vitro and in vivo.
• Willingness to work in a BSL3 environment with pathogenic M. tuberculosis
• Excellent written and verbal collaboration skills. The position includes a high degree of collaborative interaction within our lab and collaborating with labs at the University of Washington, VA Puget Sound, Seattle Children's Research Institute, and the Fred Hutchison Cancer Research Center. There is extensive interaction with others in the lab and it requires working closely with postdoctoral fellows on their research projects.
• Understanding of statistical principles and willingness to work with large datasets in R and Stata
• Willingness to learn principles for functionally evaluating large gene expression and genetic datasets to reach statistically meaningful conclusions.
Will be working in lab located in Seattle, WA
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