The goal of the Bacterial Genomics Group at Broad is to develop and implement genomic and metagenomic methods to answer pressing questions related to bacteria and their role in human health. Specifically, we seek to understand the evolution and spread of bacterial pathogens (and antibiotic resistance) including the interactions that these pathogens have with their host and host-associated microbiota.
We devise and carry out large-scale studies that employ genomic, metagenomic and transcriptomic data sets to understand human pathologies caused by e.g., Mycobacterium tuberculosis, carbapenem resistant Enterobacteriaceae, enterococci and uropathogenic Escherichia coli. We do this in close collaboration with clinical and academic researchers from across the Broad community and around the globe.
We are seeking a creative and highly motivated postdoctoral researcher in Computational Biology. The ideal candidate should be broadly conversant with bioinformatics techniques for genomic data analysis including metagenomic analysis. They should also be familiar with microbial ecology principles, statistics and have made significant contributions to their area of study.
- Developing data analysis strategies, writing algorithms and deploying computational tools for the exploration of large genomic, metagenomic and metatranscriptomic data sets
- Collaborating closely with experimental and computational researchers to interpret analytical results for publication
- Communicating scientific findings in writing and orally
- A Ph.D. in Computer Science, Bioinformatics, Biostatistics, Physics, Biological Sciences or a related field
- Must be proficient in working in the Unix environment. Solid coding proficiency in some combination of Python, Perl, Scala, Java, C/C++ and R. Experience with cluster computing and parallelization preferred.
- Comfort and experience with programming for biological data analysis
- Demonstrated ability to analyze and interpret metagenomic data
- Excellent ability to communicate scientific material
- Excellent collaborative skills and unrelenting enthusiasm for genomic science
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