Postdoctoral Fellow-MSH-30030-279

Title:  Postdoctoral Fellow

Salary:  $75,796 per year

Department:  Microbiology

Physical work location: One Gustave L. Levy Place Box #1124, NY, NY 10029

Name PI or Supervisor: Michael Schotsaert; michael.schotsaert@mssm.edu; 212-241-4847

Web link to Lab:  https://labs.icahn.mssm.edu/schotsaertlab/

Web link to Dep’t:  https://icahn.mssm.edu/about/departments/microbiology

Administrative Contact: Molly Deroy; molly.deroy@mssm.edu; 212-241-7318

Details of Research Project: 

The postdoc will be involved in translational research projects that study host-pathogen interactions and host-vaccine responses in preclinical animal models. The research projects include work with guinea pigs, hamsters, mice and human primary cell cultures in BSL2/3/3+ facilities with SARS-CoV-2 and influenza virus. The aim of these studies is to find correlates of protection and understand host immune responses to viral infection and vaccination in different models. Special focus will be on immune profiling of mouse lungs in mice with skewed host immune responses upon respiratory infections. This work will be done at bio safety levels 2 (influenza virus) and 3 (SARS-CoV-2) in the lab.

Technical Duties: 

• Hamster intranasal vaccination
• Adjuvant formulation and vaccine admixing
• Virus titration from nasal turbinates and lungs in preclinical animal models
• Setting up preclinical infection models with influenza virus and coronaviruses
• Serological assays (ELISA, microneutralization assays, ADCC assays, ADCP assays)
• Cellular mediated immunity assays (ELISPOT, flow cytometry)
• (Single cell) immune profiling (flow cytometry, single cell and bulk RNAseq, luminex cytokine ELISA, …) and assist with multi-OMICS data acquisition and analysis

Educational and other Requirements for the position: PhD required

Experience Required:  

• Experience with handling mice in BSL2 environments. 
• Sample preparation for OMICS data generation. E
• xperience with serological assays (ELISA) and single cell techniques (flow cytometry, RNA seq,? ). 
• OMICs data analysis with standard analysis pipelines.