Job Location : Chicago,IL, USA
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About The Department
DepartmentBSD E&E - AdministrationAbout The DepartmentThe Cobey Lab at The University of Chicago in the Department of Ecology & Evolution has opportunities for several for several quantitative Computational Research Scientists to investigate the adaptive immune response to influenza, especially its impacts on individual protection and pathogen epidemiology and evolution. A background in nonlinear dynamics, physics, statistics, machine learning, evolution, epidemiology, or another quantitative field is required. Projects include (a) modeling the longitudinal dynamics of individual immune responses after infection and vaccination, (b) examining variability in individuals' responses after multiple exposures and inferring correlates of protection, (c) developing methods to measure vaccine effectiveness in different populations, and (d) predicting pathogen dynamics. Outcomes from the projects will inform vaccination strategies and fundamental knowledge of the interplay of immunity, viral evolution, and epidemiology. These projects involve close collaboration with epidemiologists, immunologists, ecologists, and evolutionary biologists, including through the NIH-funded Collaborative Influenza Vaccine Innovation Consortium (CIVIC), the Centers for Excellence in Influenza Research and Response (CEIRR), and other NIH-funded research projects, as well as collaboration with the CDC and other public health agencies. A background in immunology is not necessary. There is substantial opportunity to shape the direction of research and develop new projects and collaborations.Job SummaryThe Cobey Lab is looking for several quantitative Computational Research Scientists to investigate the adaptive immune response to influenza, especially its impacts on individual protection and pathogen epidemiology and evolution. A background in nonlinear dynamics, physics, statistics, machine learning, evolution, epidemiology, or another quantitative field is required. Projects include (a) modeling the longitudinal dynamics of individual immune responses after infection and vaccination, (b) examining variability in individuals' responses after multiple exposures and inferring correlates of protection, (c) developing methods to measure vaccine effectiveness in different populations, and (d) predicting pathogen dynamics. Outcomes from the projects will inform vaccination strategies and fundamental knowledge of the interplay of immunity, viral evolution, and epidemiology. These projects involve close collaboration with epidemiologists, immunologists, ecologists, and evolutionary biologists, including through the NIH-funded Collaborative Influenza Vaccine Innovation Consortium (CIVIC), the Centers for Excellence in Influenza Research and Response (CEIRR), and other NIH-funded research projects, as well as collaboration with the CDC and other public health agencies. A background in immunology is not necessary. There is substantial opportunity to shape the direction of research and develop new projects and collaborations.Responsibilities
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