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Job ID: 168067

Research Assistant - Molecular Biology and Microbiology, School of Medicine
Tufts University


Date Posted Sep. 24, 2021
Title Research Assistant - Molecular Biology and Microbiology, School of Medicine
University Tufts University
Boston, MA, United States
Department
Application Deadline Open until filled
Position Start Date Available immediately
 
 
  • Classified Staff
  • Research/Technical/Laboratory
 
 

This is a grant funded position and is not eligible for severance pay.

The faculty in MBM are united by a common interest in the biology of microbes (bacteria, fungi, viruses, and parasites) and the effects of microbes on human and animal hosts. The microbial pathogens program studies microorganisms that cause infectious diseases, with emphasis on rigorous analysis of these pathogens and the immune responses that restrict them. Program investigators direct detailed studies of pathogenic bacteria, viruses, fungi and eukaryotic parasites. Research topics include structural analysis of virus entry, viral evolution, viral oncogenes, intracellular bacterial pathogens, microorganisms that cause diarrhea and pneumonia, intracellular signaling, pathogen adhesion, genetic determinants involved in susceptibility to infection, vaccine development, and identification of novel antimicrobial agents.

Under supervision of the principal investigator, other lab members, and senior scientists in neighboring labs who are intimately familiar with the techniques required, the Research Assistant may conduct a variety of experiments using a variety of skills, which may include culturing bacterial and mammalian cells, performing fixed-cell and live-cell microscopy, making mesoscale and high-throughput measurements, and using microfluidic devices, quantitative image analysis, MATLAB and python programming, and machine learning.  In these capacities, the Research Assistant will also record test results and analyze data using statistics. Our data-driven modeling requires use and development of custom code. Therefore, the strongest candidates will have computer programming and quantitative analysis skills.
 


 
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