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The Zhang lab (Broad Institute and MIT) is seeking to recruit a computational biologist to contribute to our ongoing efforts to discover, characterize, and engineer novel natural systems for use in human cells.
We are looking for a talented and curious scientist to advance our efforts to identify and analyze novel natural systems. The ideal candidate will blend knowledge of evolutionary, structural, and molecular biology with a deep bench of computational experience. S/he will work as a team with current members of the Zhang lab to implement biological mining strategies and analyze novel systems, bringing to bear skills in bioinformatics, genomics, evolution, and protein structure. Familiarity with large data management/analysis, e.g. data science and data visualization, are desirable.
The Zhang lab seeks to explore and study biological diversity to understand nature and discover systems and processes that may be harnessed through bioengineering for the improvement of human well-being. Previous examples of this include pioneering the use of microbial CRISPR-Cas systems for genome and transcriptome engineering, discovery and characterization of novel RNA-guided enzymes and engineering endogenous human proteins for use as gene therapy delivery vectors. Collectively, our work encompasses many disciplines, including computational biology, evolutionary biology, microbiology, biochemistry and structural biology, molecular biology, genomics, and bioengineering. Our lab is a fun, vibrant, fast-paced, results-driven, and collaborative environment.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
- Design and implement biological mining pipelines
- Curate and evaluate novel biological system candidates for downstream
- characterization
- Stay current on the field and think deeply about creative new ways to have an
- impact
- Contribute to the lab through teamwork and discussion.
MINIMUM QUALIFICATIONS:
- PhD in a relevant field (e.g., computational biology, molecular biology, evolution)
- Programming basics (ideally bash and python)
- Experience in machine learning
- Experience with remote homology detection on protein and RNA desired
- Curiosity about hacking biological systems
- Eager to work in a team and collaborate
- Demonstrated scientific contributions to the field
- Proven ability to efficiently and effectively solve problems
- Outstanding clarity of thought in communications (written and oral)
#LI-Hybrid
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.
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