Job ID:
Job date: 2014-11-10
End Date:
Company : Benaroya Research Institute Country : Role : Research Scientist
Job date: 2014-11-10
End Date:
Company : Benaroya Research Institute Country : Role : Research Scientist
Job Description:
Responsibilities
The bioinformatics scientist will be involved in the production and use of large collections of clinical RNAseq transcriptional profiling data from both public domain and internal programs.
Primary responsibilities of this position:
• Develop and maintain RNAseq data processing pipeline with state-of-the-art alignment/counting/analysis tools.
• Run newly generated internal datasets through the pipeline.
• Maintain file system in accordance with data retention policy for RNAseq data storage
• Produce standardized quality control and data output reports from pipeline
• Collaborate with biologists to complete end-to-end analysis of clinical transcriptional profiling data; from raw sequencing data, produce a final, functional analysis with publication-quality graphics.
• Work collaboratively to design and implement new immunological experiments.
• Update Systems Immunology group on new RNAseq data analysis publications.
• Drive development of novel analysis tools as needed for cutting-edge single cell transcriptional data.
BRI is an equal opportunity employer. All qualified applicants will receive consideration for employment with regard to status as a protected veteran or a qualified individual with a disability, or other protected status, such as race, religion, color, national origin, sex, age.
Qualifications
The successful candidate will have:
• Have a solid background in programming (e.g., Perl/Python, Java, R and/or MySQL) in a mixed Unix-Mac-Windows environment.
• Have experience in genomics, high-throughput sequencing, statistical analysis and data visualization.
• Thrive in a collaborative environment, and easily adapt to new project needs/goals identified by any member of a research team.
• Preferably be familiar with Galaxy tool suite, R/Bioconductor, and Cytoscape.
• Perform other duties as required.
M.S. or Ph.D. (preferred) in bioinformatics, biology, computer science, or related discipline; with a minimum of two years of post-graduate experience for Ph.D. and 6 years for M.S.
Additional Info:
[Click Here to Access the Original Job Post]
Responsibilities
The bioinformatics scientist will be involved in the production and use of large collections of clinical RNAseq transcriptional profiling data from both public domain and internal programs.
Primary responsibilities of this position:
• Develop and maintain RNAseq data processing pipeline with state-of-the-art alignment/counting/analysis tools.
• Run newly generated internal datasets through the pipeline.
• Maintain file system in accordance with data retention policy for RNAseq data storage
• Produce standardized quality control and data output reports from pipeline
• Collaborate with biologists to complete end-to-end analysis of clinical transcriptional profiling data; from raw sequencing data, produce a final, functional analysis with publication-quality graphics.
• Work collaboratively to design and implement new immunological experiments.
• Update Systems Immunology group on new RNAseq data analysis publications.
• Drive development of novel analysis tools as needed for cutting-edge single cell transcriptional data.
BRI is an equal opportunity employer. All qualified applicants will receive consideration for employment with regard to status as a protected veteran or a qualified individual with a disability, or other protected status, such as race, religion, color, national origin, sex, age.
Qualifications
The successful candidate will have:
• Have a solid background in programming (e.g., Perl/Python, Java, R and/or MySQL) in a mixed Unix-Mac-Windows environment.
• Have experience in genomics, high-throughput sequencing, statistical analysis and data visualization.
• Thrive in a collaborative environment, and easily adapt to new project needs/goals identified by any member of a research team.
• Preferably be familiar with Galaxy tool suite, R/Bioconductor, and Cytoscape.
• Perform other duties as required.
M.S. or Ph.D. (preferred) in bioinformatics, biology, computer science, or related discipline; with a minimum of two years of post-graduate experience for Ph.D. and 6 years for M.S.
Requeriments :
Skills :
- Bioinformatics
- Computational Biology
- Lunix/Unix
- Next Generation Sequencing
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in PERL
- Programming in R
- RNA-seq
- Statistics
Areas :
Additional Info:
[Click Here to Access the Original Job Post]