Postdoctoral Associate, Computational Functional Genomics

Job ID: 5331
Job date: 2018-01-08
End Date:

Company : Broad Institute 

Country :

Role : Postdoc 


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Job Description:
The Xavier Lab in the Infectious Diseases and Microbiome program of The Broad Institute of MIT/Harvard is looking to hire a Postdoctoral Associate with a strong background in computational functional genomics. This laboratory, led by Dr. Ramnik Xavier (Chief of Gastroenterology at MGH and an Institute Member of the Broad Institute), is uniquely positioned to leverage both clinical data from one of the world's leading hospitals and large scale chemical biology and genetics experiments performed at the Broad. Projects aim to develop therapeutic solutions in partnership with our collaborators and sponsors from the pharmaceutical and tech industry.

We are looking for a highly motivated and talented individual with a computational background to join our efforts in functional genomics, especially related to inflammatory bowel disease, food allergy, and tuberculosis. The ideal candidate has an interest in making significant contributions to discovery and therapeutics in biomedicine through navigating and interrogating big data and biological networks in genetics, functional genomics and systems biology. This position affords the opportunity to employ machine learning and statistics to cutting-edge technology like genome-wide CRISPR screens and single-cell transcriptomics.

The Broad Institute provides a vibrant research environment with close links to top academic institutions across the Boston area. The candidate will collaborate with computational biologists, laboratory scientists, and clinicians in a collegial work environment infused with intellectual rigor. Research will focus developing novel approaches to analyze data from our ongoing sequencing experiments and genetic screens to identify genes and pathways involved in the pathogenesis of gut diseases and the regulation of immunity.

DUTIES:

  • Analyze datasets from a wide variety of genetics experiments including but not limited to RNA-Seq (bulk and single-cell), CRISPR screens, proteomics and metabolomics (prior experience with any of these technologies is preferred, but not necessary)
  • Participate in design of experiments to address key questions in innate and adaptive immunity, and the genetic bases of inflammatory bowel diseases
  • Develop methods and algorithms to approach novel problems in computational biology
  • Create scientifically rigorous visualizations, communications, and presentations of results
  • Contribute to generation of protocols, publications, and intellectual property
  • Maintain and organize computational pipelines, infrastructure and resources
QUALIFICATIONS;
  • PhD in Computational Biology or a quantitative discipline like Statistics, Computer Science, Mathematics, Physics or Engineering
  • Strong publication record as an objective evidence of scientific and research involvement/potential/achievement.
  • Experience with some scientific computing software (R/Matlab) and scripting languages (bash/perl/python)
  • Solid foundation in the fundamentals of statistics, algorithms and data analysis, and the ability to approach problems with scientific rigor
  • Excellent communication skills and the ability to explain technical/mathematical reasoning to people from non-quantitative backgrounds
  • A passion for solving important problems facing humanity and advancing our understanding of the human body


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Additional Info:
EOE / Minorities / Females / Protected Veterans / Disabilities

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