POSTDOCTORAL FELLOW

Job Description

The Castellano laboratory at the Icahn School of Medicine at Mount Sinai has an open position for a talented postdoctoral fellow to start immediately. Our lab is in the Department of Neuroscience and a member of the Friedman Brain Institute and Ronald Loeb Center for Alzheimer’s disease. Our research focuses on understanding how blood-brain and neuroimmune interactions influence the degree to which the brain ages and becomes susceptible to neurodegenerative disorders like Alzheimer’s disease (see Castellano, J.M. et al., Nature, 2017 for our recent work [http://dx.doi.org/10.1038/nature22067]). 


Successful candidates will join an energetic team that uses a diverse toolset, including parabiosis, in vivo microdialysis, and next-generation sequencing while leveraging samples and resources from human patient populations available to us at Mount Sinai Hospital. The lab also employs conventional methodologies, including confocal microscopy, molecular cloning techniques, viral-mediated gene transfer, and behavioral studies to understand processes of synaptic plasticity and memory in rodent models of aging and Alzheimer’s disease. 


We are seeking a creative, highly motivated individual with a recent Ph.D. (less than one year) in Neuroscience or a related field. The successful candidate will pursue a funded project related to APOE risk and immune interactions regulating brain health. Previous expertise in mouse models of disease and/or next-generation sequencing is preferred but not required. Expertise in molecular biology, rodent handling, microscopy, and basic biochemical techniques is required. Interested candidates should send a cover letter, a CV (include details of technical expertise), and the contact information of 3 referees to Joseph.Castellano@mssm.edu .

Lab website(s): http://labs.neuroscience.mssm.edu/project/castellano-lab/


https://sites.google.com/view/castellanolab/home 


Department website: http://labs.neuroscience.mssm.edu 


Link to relevant research article (Castellano et al., 2017): http://dx.doi.org/10.1038/nature22067


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