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    Opportunity: COMPUTATIONAL BIOLOGIST / Statistical Genetics @ Broad Institute--Cambridge, MA (US)
    Submitted by Laura Bonfitto; posted on Thursday, August 25, 2011


    The Broad Institute is looking for an exceptional candidate to join the Stanley Center for Psychiatric Research as a genetic analyst and scientist with a strong computational orientation to their work. The selected candidate will play a key role in designing and pursuing analyses of genome variation and genome function and expression. This individual will take deep dives into genetics and genomics data sets and collaborate with other scientists in a collegial work environment characterized by informality and intellectual rigor. Will join an existing team and wider community of computational biologists and scientists applying genomics tools to identify and functionally dissect the genome variation that underlies psychiatric disorders such as bipolar disorder and schizophrenia.


    • Develop and implement strategies for the analysis of large genome variation data sets - including exome sequence and SNP array data sets - from cohorts of patients.
    • Develop and implement strategies for integrating across diverse data types such as SNP, copy-number variation (CNV), genome sequence, and RNA-seq data.
    • Help develop new analytical approaches that yield the greatest possible insight from genetics and genomics data sets.
    • Communicate results effectively to a diverse community of internal and external scientists.


    • Ph.D. in genetics, biology, mathematics, computer science, or related field.
    • Advanced capability and research experience with a statistical package such as R or Matlab.
    • Advanced capability and research experience with a scripting language such as Perl or Python.
    • Solid science background, strong understanding of genetics and genomics, strong facility with quantitative analysis and large quantitative data sets
    • Excellent communication and interpersonal skills.
    • Familiarity with genomic data, tools, and datasets.
    • Strong initiative and ability to take ownership of assigned tasks and projects.


    Cambridge, MA




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