Associate Computational Biologist - Eric Lander Laboratory
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POST DATE 8/31/2016
END DATE 4/27/2017
JOB DESCRIPTIONJob Description: This position is a unique opportunity to join the laboratory of Eric Lander, Founder and Director of the Broad Institute of MIT and Harvard, to study genome biology. We seek to understand fundamental mechanisms of genome regulation and apply these insights to transform the treatment of human disease.
Our interests are broad: Current efforts include developing high-throughput functional genomics technologies to understand the logic of cis regulatory elements; modeling transcriptional regulation across cell types to enable rational design of cellular reprogramming; dissecting the functions of noncoding RNAs through systematic genetics and biochemistry; and identifying therapeutic vulnerabilities in cancer through forward genetic screens. For recent related work, see http://1.usa.gov/1SuTrjw
We are looking for a talented associate computational biologist to join our team. The successful candidate will collaborate with computational and experimental biologists to dissect the mechanisms by which chromatin, enhancers, noncoding RNAs, and genome architecture control transcription in mammalian cells. These projects will involve designing and implementing computational and statistical tools; contributing to the development of novel functional genomic technologies; analyzing high-throughput sequencing data; and presenting and drafting manuscripts of finished research projects.
The Lander Laboratory is a dynamic, interdisciplinary workplace that will provide unique access to cutting edge technologies and scientific thought, with the potential for widespread recognition of scientific contributions.
* Collaborate with experimentalists and computational biologists to develop and apply functional genomics techniques
* Design and implement generalizable algorithms and tools for analysis of biological data, including high-throughput functional genomics assays
* Evaluate and recommend new emerging technologies, approaches, and problems
* Create scientifically rigorous visualizations, communications, and presentations of results
* Contribute to generation of protocols, publications, and intellectual property
* Maintain and organize computational infrastructure and resources
Requirements: * BS with 0+ years of related experience
* Practical experience with scientific computing tools (e.g., MATLAB, R)
* Practical experience with programming languages (e.g., Java, C++, Perl, Python)
* Experience with computational analysis, algorithm development and statistics
* Knowledge of existing bioinformatics analysis tools, methods, and databases a plus
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