Postdoctoral Associate, Computational Microbiology and Urban Health
Massachusetts Institute of Technology (MIT)
Location: Cambridge, Massachusetts
Internal Number: 19900
POSTDOCTORAL RESEARCHER IN 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; analyze unique urban data sets available at SCL to characterize the urban environment and associated environmental exposures (e.g., air pollutants); develop and apply statistically robust methodologies to study the associations between the microbiome, patient metadata, urban environment and the risk of Alzheimer's disease; 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: 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
In addition to applying via the MIT website with a cover letter and CV, applicants are asked to also apply to https://podio.com/webforms/20990155/1447915 with a cover letter (usually up to one page) stating your interest in working with Senseable City Lab, and in particular, including research areas and/or projects of particular interest within the given scope, key relevant competencies, and dates of availability; a CV which should include relevant projects earlier accomplished and key relevant publications (up to five); and a complete publication list and key relevant publications' full text attached. Applicants should also be ready to provide letters of recommendation or contacts of the academic referees upon request.
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