Postdoctoral Associate, Computational Microbiology and Urban Health
Massachusetts Institute of Technology (MIT)
Location: Cambridge, Massachusetts
Internal Number: 19900
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POSTDOCTORAL ASSOCIATE, COMPUTATIONAL MICROBIOLOGY AND URBAN HEALTH , Urban Studies and Planning (DUSP)-Senseable City Lab (SCL) , to fill a research position that focuses on understanding how human health and the environmental interact to influence Alzheimer's disease risk. This project, titled "Dissecting the impact of environmental factors and the microbiome on Alzheimer's disease", will apply experimental and computational methods to quantify, characterize, and model the relationship between the urban environment, the human microbiome, and Alzheimer's disease. Will apply bioinformatic and biostatistical methods to analyze and interpret the multiomic data (e.g., metagenomics, metabolomics) of study participants; identify and collect metadata (e.g., socio-demographic, diet, lifestyle, geographic, clinical tests) from study participants and apply methods to characterize the urban environment and associated environmental exposures (e.g., air pollutants); develop and apply statistical methods to perform interaction analyses between the microbiome, environment, and Alzheimer's disease risk; collaborate with team members at the Weizmann Institute of Science on research design, analysis, and publication; actively contribute to the design and initiation of new research projects and ideas in the field of computational microbiology and urban health; present research results at top international workshops and conferences, exhibits, and internal project meetings; and co-author articles for publication in leading peer-reviewed journals and top conferences.
Job Requirements REQUIRED : a Ph.D. in microbiology, computational biology, bioinformatics, biostatistics, medicine or related field; experience with multiomics techniques (metagenomics, metabolomics); experience handling and analyzing large-scale biological datasets; advanced-level programming skills; strong problem-solving and verbal and written English communication skills; and the ability to work in a multidisciplinary, team-oriented environment. PREFERRED : experience with statistics and machine learning. Job #19900
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