Job ID: 3121
Job date: 2017-04-28
End Date:
Company : Broad Institute Country : Role : Research Scientist
Job date: 2017-04-28
End Date:
Company : Broad Institute Country : Role : Research Scientist
Job Description:
The KCO is looking to hire an experienced computational biologist to support collaborative research projects aimed at improving our understanding of the cell circuitry within cells and between cells. Having a comprehensive picture of all the cellular components and all of the cellular circuits in which they function will lead to a better a better understanding of disease and help develop effective treatments. Responsibilities include computational analysis of transcriptome data, in particular single-cell RNA-Seq expression data, and communication of results via presentations, project reports, and contributions to peer-reviewed publications. CHARACTERISTIC DUTIES -Develop, apply, document, and maintain computational tools, both for own use and to support analysis by biologist colleagues without formal computational training. Critically evaluate computational solutions. -Develop customized computational solutions supporting new kinds of assays and experiments. Understand the analytical needs of new experiments, working closely with wet-lab experimental biologists. -Implement and optimize successful algorithms and methods to be shared for use by the broader community. -Develop figures and reports, which provide transparency into the data quality and characteristics, and automate the production of such reports as routine components of computational analysis pipelines. -Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field, including testing and evaluating newly developed software tools and methods as they become available. -Contribute to reports and papers for presentation and publication. Present at scientific conferences, as needed. -Regularly attend and present at lab and project team meetings to ensure continuous communication around methods and tools developed. REQUIREMENTS QUALIFICATIONS -Ph.D. and 0-2 years experience in computer science, engineering, physics, mathematics, biology, or related fields. -Demonstrated experience designing computational methods and tools, including prior experience with algorithms relevant to computational biology. Skill and experience with statistical analysis is strongly preferred. -Familiarity with next-generation sequence data analysis tools -Must have demonstrated proficiency with several of the following technologies: Linux, Perl, Python, Java, C++, matlab, or R, with a preference towards Linux, Python, and R. -Basic understanding of molecular biology and next generation DNA sequencing. -Ideally will have demonstrated experience designing computational methods and tools, including prior experience with algorithms relevant to single-cell RNA-Seq analysis. -Ability to work independently while making necessary connections with experts in various computational analysis groups -Self starter, highly motivated, highly collaborative and works well with others. -Excellent communication, organization, and time management skills
Additional Info:
Broad Institute's Klarman Cell Observatory (KCO) is a pilot effort to systematically define cellular circuits in mammalian cells. It builds on breakthrough technologies and on collaborations that cut across scientific disciplines. EOE/Minorities/Females/Protected Veterans Disabilities [Click Here to Access the Original Job Post]
The KCO is looking to hire an experienced computational biologist to support collaborative research projects aimed at improving our understanding of the cell circuitry within cells and between cells. Having a comprehensive picture of all the cellular components and all of the cellular circuits in which they function will lead to a better a better understanding of disease and help develop effective treatments. Responsibilities include computational analysis of transcriptome data, in particular single-cell RNA-Seq expression data, and communication of results via presentations, project reports, and contributions to peer-reviewed publications. CHARACTERISTIC DUTIES -Develop, apply, document, and maintain computational tools, both for own use and to support analysis by biologist colleagues without formal computational training. Critically evaluate computational solutions. -Develop customized computational solutions supporting new kinds of assays and experiments. Understand the analytical needs of new experiments, working closely with wet-lab experimental biologists. -Implement and optimize successful algorithms and methods to be shared for use by the broader community. -Develop figures and reports, which provide transparency into the data quality and characteristics, and automate the production of such reports as routine components of computational analysis pipelines. -Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field, including testing and evaluating newly developed software tools and methods as they become available. -Contribute to reports and papers for presentation and publication. Present at scientific conferences, as needed. -Regularly attend and present at lab and project team meetings to ensure continuous communication around methods and tools developed. REQUIREMENTS QUALIFICATIONS -Ph.D. and 0-2 years experience in computer science, engineering, physics, mathematics, biology, or related fields. -Demonstrated experience designing computational methods and tools, including prior experience with algorithms relevant to computational biology. Skill and experience with statistical analysis is strongly preferred. -Familiarity with next-generation sequence data analysis tools -Must have demonstrated proficiency with several of the following technologies: Linux, Perl, Python, Java, C++, matlab, or R, with a preference towards Linux, Python, and R. -Basic understanding of molecular biology and next generation DNA sequencing. -Ideally will have demonstrated experience designing computational methods and tools, including prior experience with algorithms relevant to single-cell RNA-Seq analysis. -Ability to work independently while making necessary connections with experts in various computational analysis groups -Self starter, highly motivated, highly collaborative and works well with others. -Excellent communication, organization, and time management skills
Requeriments :
Skills :
- DNA sequencing
- Lunix/Unix
- molecular biology
- Next Generation Sequencing
- Programing in C++
- Programing in Python
- Programming in Java
- Programming in Matlab
- Programming in PERL
- Programming in R
- RNA-seq
- Statistics
Areas :
Additional Info:
Broad Institute's Klarman Cell Observatory (KCO) is a pilot effort to systematically define cellular circuits in mammalian cells. It builds on breakthrough technologies and on collaborations that cut across scientific disciplines. EOE/Minorities/Females/Protected Veterans Disabilities [Click Here to Access the Original Job Post]