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
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 will 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
- Using microfluidic devices, quantitative image analysis, MATLAB and python programming, and machine learning
- Recording test results and analyze data using statistics.
- Using and development of custom code, for data-driven modeling
What We're Looking For
- Knowledge and skills typically acquired by a Bachelor's degree in science or engineering and 3-5 years of related laboratory experience OR Master's degree and up to 1 year laboratory experience
- Our data-driven modeling requires use and development of custom code. Therefore, the strongest candidates will have computer programming and quantitative analysis skills.Consistent attention to detail and excellent organizational and communication skills are critical
- Knowledge of MS Office products, statistical/quantitative analysis, and computation is necessary
Special Work Schedule Requirements:
- Occasional need to work beyond regular work hours, holidays, or weekends, as experiments demand