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Postdoctoral Associate - Bacterial Genomics Group at Broad Institute in Cambridge, Massachusetts

Posted in Other 30+ days ago.





Job Description:

Job Description

Postdoctoral Associate - Bacterial Genomics Group

Broad Institute of MIT & Harvard, Boston, MA, US

The Bacterial Genomics group at the Broad Institute of MIT and Harvard is seeking a creative and highly motivated postdoctoral researcher interested in working at the intersection of computer science and microbiology to help us understand the evolution and spread of bacterial pathogens and antibiotic resistance, including the role of the microbiome. The candidate should be proficient in at least one programming language (e.g., Perl, Python, R), familiar with statistics, made significant contributions to their area of study, and enjoys working collaboratively and in a team environment.

This is an ideal role for a candidate who is defending their PhD soon or completed their PhD program recently and is interested in continuing their research work in Bacterial Genomics.

Requirements


  • A Ph.D. in Computer Science, Bioinformatics, Biostatistics, Mathematics, Physics, Biology, Biological Sciences or a related field


  • Must be proficient in working in the Unix environment. Solid coding proficiency in at least one of the following languages: Python, Perl, Scala, Java, C/C++ or R.


  • Comfort and experience with programming for biological data analysis


  • Excellent ability to communicate scientific material


  • Excellent collaborative skills and unrelenting enthusiasm for genomic science


The Broad Institute is an amazing place - we apply our deep knowledge of human and microbial genetics to empower a revolution in bio-medicine and accelerate the pace at which the world conquers disease. Through our partnerships with MIT, Harvard, and the Harvard teaching hospitals, we've become a worldwide hub of cutting-edge biomedical science.

The Bacterial Genomics Group within the Genome Center for Infectious Diseases at the Broad Institute tackles pressing questions related to bacteria and their role in human health. We work in a dynamic and rich training environment, connected to groups across the Broad community and to clinical and academic researchers from around the globe. We devise and carry out large-scale studies that generate genomic, metagenomic and transcriptomic data sets that we use to understand human pathologies like tuberculosis, recurrent urinary tract infections and life-threatening infections caused by hospital adapted pathogens.

We solve puzzles -- We use diverse analytical approaches to understand how key pathogens evolve and interact with their host and host-associated microbiota.

We love "big data" -- Our team develops data analysis strategies, writes algorithms and leverages grid and cloud computing for the integration and exploration of thousands of 'omics data sets (i.e., genomes, transcriptomes, microbiomes).

We work as a team -- From project start to finish, we work closely with each other and with clinical and experimental researchers to design and execute studies that test critical biomedical hypotheses, including interpretation of analytical results for validation and publication.

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