The School of Public Health and the Center for Computational Biology in the College of Engineering at the University of California, Berkeley invite applications for a tenure track Assistant Professor position with an expected start date of July 1, 2020. We are interested in candidates working in areas of mutual and complementary interest to the Center for Computational Biology and the School of Public Health. Successful candidates will conduct research, broadly, in the area of computational biology and host-microbe interactions. We are interested in candidates who study how pathogenic or non-pathogenic microbes affect hosts, with a particular interest in studies related to the human microbiome. Eligible candidates for this position would develop and/or apply sophisticated computational and experimental laboratory methods to studies of microbes and their health implications, including the relationship of the human microbiome to chronic or infectious disease at the population level. Candidates applying these techniques to understand health disparities are especially welcome. Examples of areas of high priority research include, but are not limited to, the following:

● Characterization of, including by the use of genome sequencing approaches, human microbes/microbiomes at the community or population level and relationship to health and disease, including disparities in health and disease.
● Computational techniques and methods applied to infectious disease outbreak investigation; the study of pathogenesis, niche adaptation, or evolution of infectious disease agents; and translational applications such as disease diagnostic and biomarker test development, new drug target identification and vaccine development.
● The impact of low-residue antibiotics and other factors in the environment on human intestinal microbiota (e.g., diet, biodiversity, climate change, geography, social determinants).
● Modulation of the human immune response/human physiology by the microbiome.
● Food, agriculture, human nutrition and the impact on gut microbiome.