Job Description:
The Xavier Lab in the Infectious Diseases and Microbiome program of The Broad Institute of MIT and Harvard is looking for postdoctoral associate candidate with a strong computational background to to investigate the mechanisms of host microbiome interactions in health and disease. The Xavier Lab, 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. The candidate should be broadly experienced with analyzing next generation sequencing data and will be responsible for computational analysis of large multi-‘omic datasets with the goal of identifying microbes, genes or microbial products that are relevant to human health. 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 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 metagenomics, metatranscriptomics, 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
Additional Info:
Applicants should submit a cover letter, CV and names, e-mail addresses and phone numbers of 3 references EOE / Minorities / Females / Protected Veterans / Disabilities[Click Here to Access the Original Job Post]
The Xavier Lab in the Infectious Diseases and Microbiome program of The Broad Institute of MIT and Harvard is looking for postdoctoral associate candidate with a strong computational background to to investigate the mechanisms of host microbiome interactions in health and disease. The Xavier Lab, 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. The candidate should be broadly experienced with analyzing next generation sequencing data and will be responsible for computational analysis of large multi-‘omic datasets with the goal of identifying microbes, genes or microbial products that are relevant to human health. 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 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 metagenomics, metatranscriptomics, 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
Requeriments :
Skills :
- Computational Biology
- Genetics
- Metagenomics
- Next Generation Sequencing
- Programing in Python
- Programming in Matlab
- Programming in PERL
- Programming in R
- Statistics
- Transcriptomics
Areas :
Additional Info:
Applicants should submit a cover letter, CV and names, e-mail addresses and phone numbers of 3 references EOE / Minorities / Females / Protected Veterans / Disabilities[Click Here to Access the Original Job Post]