Job Description:
We are seeking a Computational Scientist to become a member of our computational biology team at our Cambridge office. As a Computational Scientist, you will work internally and externally to operationalize the graph technical vision by executing, evaluating and refining an integrated graph-based genomic analyses toolset to process raw data in high priority areas including calling hereditary variants, calling somatic/cancer variants, and calling RNA-Seq expression and variants (isomers). As a Computational Scientist you will work in teams to create and develop tools in an integrated graph genomic analyses toolset that will include global and local alignment, integrated graph caller, local iterative assembly, global assembly and phased haplotype assembly. As a Computational Scientist, you will work internally and directly with the largest research institutions in the world to create graph-based bioinformatics workflow that can efficiently analyze genomic data while being able to scale to analyze data from national programs. In this role, you will plan graph-based workflow validation and analysis studies. This will require working in teams to customize workflows, develop new tools and to manage data analysis projects including algorithm/tool development. Computational scientist will collaborate with our customer project and product development teams to insure transition of graph-based tools from research applications to operational use by our customers including several national programs. Seven Bridges works with some of the largest research organizations in the world, which means you will, too. You can expect to work with individual research groups and departments at top ten universities, pharmaceutical companies, and large consortia. On a regular basis, you can expect to develop, optimize, and apply tools and workflows for processing and analyzing biological data. You will evaluate tools and report internally across functional areas to define, validate and implement software to improve our graph-based workflows and to help researchers around the world. A successful Computational Scientist enjoys building computational systems that will have a large user base. They are adept in algorithm development, large scale data analyses, and have a deep understanding of biology and genomics. And they are very people-oriented and eager to work to resolve problems and to maintain a positive and productive relationship. An ideal candidate has: -PhD in computational biology, bioinformatics, or statistics (or foreign equivalent degree) is required. -Relevant experience or skills in computational biology, bioinformatics, machine learning, or statistics. -Proficiency with several of the following technologies: Java, C/C++, R, Python, Perl, and Unix. -Proficient in next-generation sequencing data analysis and variant analysis. -Great presentation skills. -The proven ability to use, troubleshoot, and teach software. -Strong communication skills and the ability to work effectively with others. We also think that... Previous experience with large-scale genomic data (e.g. RNA-seq, Exome-seq, ChIP-seq, etc.) is a big plus. Strong publication record in top tier scientific journals to include first author publications is also a big plus. If you would like to help us advance genomics at our leading, well-funded, and dynamic startup, please apply here. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin.
Additional Info:
About Seven Bridges : Seven Bridges is the biomedical data analysis company accelerating breakthroughs in genomics research for cancer, drug development and precision medicine. We democratize genomics by enabling researchers anywhere to process and understand genomic data quickly and efficiently, at any scale. Thousands of researchers in government, biotech, pharmaceutical and academic labs use Seven Bridges, including three of the largest genomics projects in the world: U.S. National Cancer Institute’s Cancer Genomics Cloud pilot, the Million Veteran Program, and Genomics England’s 100,000 Genomes Project. As the NIH’s only commercial Trusted Partner, Seven Bridges authenticates and authorizes access to one of the world’s largest cancer genomics dataset. Our biomedical data analysis platform will be used by the Cancer Moonshot’s Blood Profiling Atlas project, designed to accelerate the development and approval of simple, accurate, and reliable blood tests for cancer diagnosis and precision treatment. Named one of the world's smartest companies by MIT Technology Review, Seven Bridges has offices in Cambridge, Mass., San Francisco, London, Belgrade, and Istanbul.[Click Here to Access the Original Job Post]
We are seeking a Computational Scientist to become a member of our computational biology team at our Cambridge office. As a Computational Scientist, you will work internally and externally to operationalize the graph technical vision by executing, evaluating and refining an integrated graph-based genomic analyses toolset to process raw data in high priority areas including calling hereditary variants, calling somatic/cancer variants, and calling RNA-Seq expression and variants (isomers). As a Computational Scientist you will work in teams to create and develop tools in an integrated graph genomic analyses toolset that will include global and local alignment, integrated graph caller, local iterative assembly, global assembly and phased haplotype assembly. As a Computational Scientist, you will work internally and directly with the largest research institutions in the world to create graph-based bioinformatics workflow that can efficiently analyze genomic data while being able to scale to analyze data from national programs. In this role, you will plan graph-based workflow validation and analysis studies. This will require working in teams to customize workflows, develop new tools and to manage data analysis projects including algorithm/tool development. Computational scientist will collaborate with our customer project and product development teams to insure transition of graph-based tools from research applications to operational use by our customers including several national programs. Seven Bridges works with some of the largest research organizations in the world, which means you will, too. You can expect to work with individual research groups and departments at top ten universities, pharmaceutical companies, and large consortia. On a regular basis, you can expect to develop, optimize, and apply tools and workflows for processing and analyzing biological data. You will evaluate tools and report internally across functional areas to define, validate and implement software to improve our graph-based workflows and to help researchers around the world. A successful Computational Scientist enjoys building computational systems that will have a large user base. They are adept in algorithm development, large scale data analyses, and have a deep understanding of biology and genomics. And they are very people-oriented and eager to work to resolve problems and to maintain a positive and productive relationship. An ideal candidate has: -PhD in computational biology, bioinformatics, or statistics (or foreign equivalent degree) is required. -Relevant experience or skills in computational biology, bioinformatics, machine learning, or statistics. -Proficiency with several of the following technologies: Java, C/C++, R, Python, Perl, and Unix. -Proficient in next-generation sequencing data analysis and variant analysis. -Great presentation skills. -The proven ability to use, troubleshoot, and teach software. -Strong communication skills and the ability to work effectively with others. We also think that... Previous experience with large-scale genomic data (e.g. RNA-seq, Exome-seq, ChIP-seq, etc.) is a big plus. Strong publication record in top tier scientific journals to include first author publications is also a big plus. If you would like to help us advance genomics at our leading, well-funded, and dynamic startup, please apply here. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin.
Requeriments :
Skills :
- Bioinformatics
- Biology
- Computational Biology
- genomic
- Lunix/Unix
- Machine Learning
- Next Generation Sequencing
- Programing in C
- Programing in C++
- Programing in Python
- Programming in Java
- Programming in PERL
- Programming in R
- RNA-seq
- Statistics
Areas :
Additional Info:
About Seven Bridges : Seven Bridges is the biomedical data analysis company accelerating breakthroughs in genomics research for cancer, drug development and precision medicine. We democratize genomics by enabling researchers anywhere to process and understand genomic data quickly and efficiently, at any scale. Thousands of researchers in government, biotech, pharmaceutical and academic labs use Seven Bridges, including three of the largest genomics projects in the world: U.S. National Cancer Institute’s Cancer Genomics Cloud pilot, the Million Veteran Program, and Genomics England’s 100,000 Genomes Project. As the NIH’s only commercial Trusted Partner, Seven Bridges authenticates and authorizes access to one of the world’s largest cancer genomics dataset. Our biomedical data analysis platform will be used by the Cancer Moonshot’s Blood Profiling Atlas project, designed to accelerate the development and approval of simple, accurate, and reliable blood tests for cancer diagnosis and precision treatment. Named one of the world's smartest companies by MIT Technology Review, Seven Bridges has offices in Cambridge, Mass., San Francisco, London, Belgrade, and Istanbul.[Click Here to Access the Original Job Post]