Job Description

Requirements

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

• Comfort and experience with programming for biological data analysis

• Demonstrated attention to detail

• Excellent ability to communicate scientific material

• Excellent organization and time management skills

• Excellent collaborative skills and enthusiasm for genomic science

Desired Skills

• Experience in pathogen genomic epidemiology methods, such as outbreak analysis, microbial phylodynamics

• Experience with cloud computing, cluster computing and parallelization

• Experience developing computational tools/analytical methods

• Understanding of bacterial genetics

• Experience with grant writing

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.

*** PLEASE INCLUDE A COVER LETTER WITH YOUR APPLICATION***

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.