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Job ID: 202265

Research Assistant - Computational Modeling, Drug Discovery
Tufts University

Date Posted Dec. 21, 2022
Title Research Assistant - Computational Modeling, Drug Discovery
University Tufts University
Medford, MA, United States
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.

What You'll Do

In collaboration with Principal Investigator, The Research Assistant responsibilities include:

  • Develops and modifies techniques and protocols
  • Provides input into research and analysis design
  • Works independently performing a wide range of specialized analysis and mathematical modeling techniques
  • Analyzes data, interprets results and assists in writing materials for publication and presentation
  • Assists in managing laboratory analysis operations
  • May supervise or provide work direction to others in the laboratory

What We're Looking For

Basic Requirements:

  • Knowledge and skills typically acquired by a Bachelor's degree in science, engineering, or mathematics and 3-5 years of related analysis experience OR Master's degree and up to 1 year analysis experience

Preferred Qualifications:

  • Master's degree in science, engineering, or mathematics
  • Knowledge of and experience with advanced analysis techniques and procedures, computer programming, data interpretation, and statistical analysis

Special Work Schedule Requirements:

  • Occasional need to work beyond regular work hours, holidays, or weekends, based on experiments demand


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