We are seeking a creative and highly-motivated postdoctoral associate in Computational Biology to join our study and analysis of single-cell genomic data. The Regev lab is a dynamic, multi-disciplinary group that develops the technologies
and computational algorithms and analytics needed to decipher the transcriptional circuits that control gene expression and cell phenotype within cells and tissues. As a pioneer in the development and application of experimental and computational methods for high-throughput single-cell RNA sequencing, we are focused on understanding single cell-level gene expression changes in response to internal and external perturbations, in both normal physiology and in disease.
The ideal candidate will have an interdisciplinary background in bioinformatics/computational biology and mammalian physiology, and will have made significant contributions to their area of study as evidenced by a strong publication record in internationally-recognized, peer-reviewed journals.
Qualified candidates should have:
A Ph.D. in computational biology, computer science, engineering, mathematics, physics, or related field
Proficiency at programing in a modern programing language (e.g. Python), with knowledge of R/MATLAB
Extensive experience with data analysis as demonstrated in published work.
Proficiency in effective use of data structures and techniques for processing and manipulation of large-scale sparse and dense data-sets
In-depth knowledge of statistical methods and/or machine learning methodologies
Demonstrated applied bioinformatics/computational proficiency as evidenced by relevant publications in internationally-recognized, peer-reviewed journals
Excellent communication skills and the ability to interact professionally with all levels of staff and with external contacts in a fast paced environment required
Must be driven and passionate about science, have demonstrated ability to learn new skills and thrive independently, and have the ability to work with minimal supervision.
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The Broad Institute's mission is to fulfill this promise by empowering creative scientists to construct new powerful tools for genomic medicine, to make them accessible to the global scientific community, and to apply them to the understanding and treatment of disease. The Institute is a research collaboration involving faculty, professional staff and students from throughout the MIT and Harvard academic and medical communities and is governed jointly by the two universities. It was founded in 2003 through the far-sighted generosity of philanthropists Eli and Edythe Broad. The Institute is organized around Scientific Programs and Scientific Platforms. This unique structure enables scientists to collaborate on important projects, with the potential to transform medicine