Computational Associate I - Bacterial Genomics Group

Computational Associate I - Bacterial Genomics Group

The Bacterial Genomics group at the Broad Institute of MIT and Harvard is seeking a creative and highly motivated Computational Associate. The ideal candidate should be broadly conversant with bioinformatics techniques for genomic, transcriptomic or metagenomic data analysis, and will use this knowledge to help us understand the evolution and spread of bacterial pathogens and antibiotic resistance. 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 across diverse projects in a team environment.

The preferred start date is summer 2026. This position requires a 3 year commitment.

The Bacterial Genomics group within the Genomic 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.

Requirements

• A BS/MS 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
• Demonstrated attention to detail
• Excellent ability to communicate scientific material
• Excellent organization and time management skills
• Excellent collaborative skills and unrelenting enthusiasm for genomic science

Additional preferred experience

• Experience with cluster computing and/or cloud computing
• Familiarity with DNA next-generation sequencing data
• Understanding of bacterial genetics
• Experience with metagenomic data analysis