Job ID: 3035102
Job date: 2017-05-07
End Date:
Company : Ragon Institute of MGH, MIT and Harvard Country : Role : Other
Job date: 2017-05-07
End Date:
Company : Ragon Institute of MGH, MIT and Harvard Country : Role : Other
Job Description:
One position is open for full time bioinformatics specialist in Yu’s group at Ragon Institute of MGH, MIT and Harvard. The candidate will assist in research on high-throughput data analysis, including but not limited to Microarray, RNAseq, Flow Cytometry and Protein Omics, for pathogenesis and viral persistent during HIV-1 infection. Knowledge gained from these analyses will support biologists to guide the design of more effective vaccines and treatments against various infectious pathogens including HIV and Influenza. Job Duties: The candidate should be highly trained and have substantial experience in genomics, bioinformatics, computational biology, human population genetics, biostatistics, or a related field. He or she should have experience analyzing high-throughput genomic datasets derived from microarray and/or other high-throughput technologies (e.g., experience with GWAS, gene expression, ChIP-Seq, ChIP-chip, or CNVs) and skills in some of the following programming languages (R / Bioconductor, Matlab, SQL, SAS, Perl, Python, Java, or C/C++). A solid understanding of genetics is a plus. Because our work involves multiple collaborators, a good balance between independence and team spirit is essential, and effective communication skills are necessary. The position offers a stimulating and multi-disciplinary environment. There are multiple possibilities for interaction with other researchers at the MGH, MIT, and the Broad Institute. Under the direction of the PI and research fellows, the candidates are expected to carry out independently daily data management and analysis. -Design and organize databases for systems-biology based projects -Responsible for the design, execution, and interpretation of systems biology experiments -Contribute to QA/QC of data to prepare datasets for analysis. -Interfaces with team members to accomplish group projects in addition to primary project. -Interfaces with collaborators to prepare, analyze, and interpret data. -Writes new code as needed to enhance the rapidly evolving set of analysis methods for high throughput data sets -Displays initiative and independence in accomplishing all duties and responsibilities -Prepares summary reports of data and results for dissemination to colleagues and collaborators. Both technical summaries and documents for a wider scientific audience will be generated. -Directly responds to inquiries regarding projects being managed. Produces subsets of data for distribution to collaborators as approved by the principal investigators. -All other duties as assigned -2 year commitment preferred Qualifications: -PhD. in biology, computational biology, genetics, statistics, computer science, or related area -Demonstrated analytical and problem solving skills -Skills with handling and analyzing microarray expression data -Understanding of statistical issues with the analysis of genomic data -Have programming skills in R, C/C++, PHP, and/or other languages -Have a knowledge of statistics, algorithms and data structure as well as SQL and relational database -Ability to work independently and display initiative within a team environment -Must be willing to learn and grow -Must have good interpersonal skills
Additional Info:
[Click Here to Access the Original Job Post]
One position is open for full time bioinformatics specialist in Yu’s group at Ragon Institute of MGH, MIT and Harvard. The candidate will assist in research on high-throughput data analysis, including but not limited to Microarray, RNAseq, Flow Cytometry and Protein Omics, for pathogenesis and viral persistent during HIV-1 infection. Knowledge gained from these analyses will support biologists to guide the design of more effective vaccines and treatments against various infectious pathogens including HIV and Influenza. Job Duties: The candidate should be highly trained and have substantial experience in genomics, bioinformatics, computational biology, human population genetics, biostatistics, or a related field. He or she should have experience analyzing high-throughput genomic datasets derived from microarray and/or other high-throughput technologies (e.g., experience with GWAS, gene expression, ChIP-Seq, ChIP-chip, or CNVs) and skills in some of the following programming languages (R / Bioconductor, Matlab, SQL, SAS, Perl, Python, Java, or C/C++). A solid understanding of genetics is a plus. Because our work involves multiple collaborators, a good balance between independence and team spirit is essential, and effective communication skills are necessary. The position offers a stimulating and multi-disciplinary environment. There are multiple possibilities for interaction with other researchers at the MGH, MIT, and the Broad Institute. Under the direction of the PI and research fellows, the candidates are expected to carry out independently daily data management and analysis. -Design and organize databases for systems-biology based projects -Responsible for the design, execution, and interpretation of systems biology experiments -Contribute to QA/QC of data to prepare datasets for analysis. -Interfaces with team members to accomplish group projects in addition to primary project. -Interfaces with collaborators to prepare, analyze, and interpret data. -Writes new code as needed to enhance the rapidly evolving set of analysis methods for high throughput data sets -Displays initiative and independence in accomplishing all duties and responsibilities -Prepares summary reports of data and results for dissemination to colleagues and collaborators. Both technical summaries and documents for a wider scientific audience will be generated. -Directly responds to inquiries regarding projects being managed. Produces subsets of data for distribution to collaborators as approved by the principal investigators. -All other duties as assigned -2 year commitment preferred Qualifications: -PhD. in biology, computational biology, genetics, statistics, computer science, or related area -Demonstrated analytical and problem solving skills -Skills with handling and analyzing microarray expression data -Understanding of statistical issues with the analysis of genomic data -Have programming skills in R, C/C++, PHP, and/or other languages -Have a knowledge of statistics, algorithms and data structure as well as SQL and relational database -Ability to work independently and display initiative within a team environment -Must be willing to learn and grow -Must have good interpersonal skills
Requeriments :
Skills :
- Database design
- Genetics
- genomic
- Microarray
- PHP
- Programing in C
- Programing in C++
- Programing Skills
- Programming in Java
- Programming in Matlab
- Programming in PERL
- Programming in R
- Programming in SAS
- RNA-seq
- SQL
- Statistics
- Systems Biology
Areas :
Additional Info:
[Click Here to Access the Original Job Post]