Job ID: 591147841
Job date: 2018-02-05
End Date:
Company : BioNano Genomics Country : Role : Research Scientist
Job date: 2018-02-05
End Date:
Company : BioNano Genomics Country : Role : Research Scientist
Job Description:
Bionano Genomics is looking for a talented, highly innovative Senior Bioinformatics Scientist to develop advanced algorithms for genome finishing and structural variation analysis applications using Bionano and NGS sequence data. Bionano’s high-throughput single-molecule genome mapping platform enables comprehensive genome analysis. The Senior Bioinformatics Scientist will be joining a highly collaborative environment with expertise in multiple areas. The position is based in San Diego and the successful candidate must have in-depth knowledge of contemporary bioinformatics approaches for sequence analysis. He or she will have the ability to perform advanced genomic analysis and develop tools to analyze and interpret a large volume of diverse datasets to drive genomic discovery. This position requires scientific rigor and the capacity to perform independent analysis. Primary duties include the following: Design, implement, and validate novel algorithms, and provide written documentation. Perform data mining, analysis, and integration on genomic data from Bionano, NGS, and other high-throughput platforms (microarray, aCGH, physical/genetic mapping etc.). Extract features of interest from data relating to specific biological questions. Contribute to presentation of methods, results, conclusions, and recommendations. Required Background and skills: PhD in computer science, statistics, bioinformatics, computational biology, or genomics. Experience with one or more of the following: Python, Perl, and R. Knowledge in statistics, modeling, and machine learning. Knowledge in basic biological processes and genomics. Working knowledge of laboratory protocols relevant to sequence analysis. Excellent verbal and written communication skills. Ability to multi-task and shift priorities in a fast-paced environment. Advantageous Experience and Skills: Experience with one or more of the following: C++, Java, and SQL. Experience with NGS and long-read sequencing technologies. Experience with analysis of clinical data, including prioritization and identification of disease-driving variants. Experience with high-performance computing (Cluster and/or cloud). Experience with developing production-level code and using version control tools. In-depth knowledge of sequence alignment and assembly algorithms. Knowledge in population genetics and experience with population- and family-based analysis.
Additional Info:
At Bionano Genomics®, we are committed to unlocking understanding of genome biology to advance the promise of genomics in areas including cancer and human disease, agricultural bioengineering and genome discovery. Our team is not afraid to venture into uncharted territory to look for answers. We welcome the curious and provide a place where those who are not satisfied with the status quo can feel at home. Our next-generation genome mapping and analysis tools help researchers see true genome structure to fill in what’s missing from sequencing-based data. Saphyr™, our high-speed, high-throughput whole genome mapping solution, offers unmatched structural variation discovery capabilities and the ability to construct the most complete genome assemblies. At Bionano, we are invested in the success of our customers and users around the world, and are dedicated to supporting them with the tools, resources and support they need to achieve their goals and make a real impact on improving quality of life for all.[Click Here to Access the Original Job Post]
Bionano Genomics is looking for a talented, highly innovative Senior Bioinformatics Scientist to develop advanced algorithms for genome finishing and structural variation analysis applications using Bionano and NGS sequence data. Bionano’s high-throughput single-molecule genome mapping platform enables comprehensive genome analysis. The Senior Bioinformatics Scientist will be joining a highly collaborative environment with expertise in multiple areas. The position is based in San Diego and the successful candidate must have in-depth knowledge of contemporary bioinformatics approaches for sequence analysis. He or she will have the ability to perform advanced genomic analysis and develop tools to analyze and interpret a large volume of diverse datasets to drive genomic discovery. This position requires scientific rigor and the capacity to perform independent analysis. Primary duties include the following: Design, implement, and validate novel algorithms, and provide written documentation. Perform data mining, analysis, and integration on genomic data from Bionano, NGS, and other high-throughput platforms (microarray, aCGH, physical/genetic mapping etc.). Extract features of interest from data relating to specific biological questions. Contribute to presentation of methods, results, conclusions, and recommendations. Required Background and skills: PhD in computer science, statistics, bioinformatics, computational biology, or genomics. Experience with one or more of the following: Python, Perl, and R. Knowledge in statistics, modeling, and machine learning. Knowledge in basic biological processes and genomics. Working knowledge of laboratory protocols relevant to sequence analysis. Excellent verbal and written communication skills. Ability to multi-task and shift priorities in a fast-paced environment. Advantageous Experience and Skills: Experience with one or more of the following: C++, Java, and SQL. Experience with NGS and long-read sequencing technologies. Experience with analysis of clinical data, including prioritization and identification of disease-driving variants. Experience with high-performance computing (Cluster and/or cloud). Experience with developing production-level code and using version control tools. In-depth knowledge of sequence alignment and assembly algorithms. Knowledge in population genetics and experience with population- and family-based analysis.
Requeriments :
Skills :
- Biology
- Data Mining
- genomic
- HPC
- Machine Learning
- Microarray
- Modeling
- Next Generation Sequencing
- Population Genetics
- Programing in C++
- Programing in Python
- Programming in Java
- Programming in PERL
- Programming in R
- SQL
- Statistics
Areas :
Additional Info:
At Bionano Genomics®, we are committed to unlocking understanding of genome biology to advance the promise of genomics in areas including cancer and human disease, agricultural bioengineering and genome discovery. Our team is not afraid to venture into uncharted territory to look for answers. We welcome the curious and provide a place where those who are not satisfied with the status quo can feel at home. Our next-generation genome mapping and analysis tools help researchers see true genome structure to fill in what’s missing from sequencing-based data. Saphyr™, our high-speed, high-throughput whole genome mapping solution, offers unmatched structural variation discovery capabilities and the ability to construct the most complete genome assemblies. At Bionano, we are invested in the success of our customers and users around the world, and are dedicated to supporting them with the tools, resources and support they need to achieve their goals and make a real impact on improving quality of life for all.[Click Here to Access the Original Job Post]