Job ID:
Job date: 2017-03-15
End Date:
Company : TotalTalent Search Group Country : Role : Research Scientist
Job date: 2017-03-15
End Date:
Company : TotalTalent Search Group Country : Role : Research Scientist
Job Description:
We are seeking an experienced bioinformatics scientist proficient in computational and statistical techniques to develop novel computational approaches for analysis of next generation DNA sequencing data. Duties: -Independently develop novel approaches to analyzing genomic data. -Utilize statistical and machine learning techniques to aide in the interpretation of quantitative genomic data. -Build robust and scalable software (e.g. pipelines) to process large genomic data sets both locally on an HPC cluster and in the cloud. -Work closely with more experimentally focused scientists and clinical geneticists to help push forward key company objectives. -Apply rigorous scientific and engineering standards to your specialized knowledge and skills. Requirements: -Education (PhD) and experience in a quantitatively focused field (e.g. bioinformatics, computational biology, computer science, bioengineering, statistics, or mathematics), or commensurate experience with a proven ability to function in a role with this level of responsibility. -Strong command of statistics and probability and their application to quantitative analyses. -3+ years of programming experience with both compiled (Java preferred) and interpreted (Python strongly preferred) languages. Experience with other languages is a plus. -Experience and comfort working in a Linux/Unix environment. -Proven track record analyzing next-generation DNA sequencing data or performing genomic analyses a strong plus. -Demonstrated ability to glean novel/key features from large data sets. -Experience performing quantitative analyses on large genomic datasets. Willingness to independently analyze results from a next-generation DNA sequencer and help molecular biologists plan follow-on experiments. -Understanding of molecular biology and human genetics/genomics highly desirable. -Statistical/population genetics experience a plus. -Industry or production next generation DNA sequencing experience (e.g., product development and commercialization) a plus. -Experience with sequence variant annotation considered a plus. -Experience developing novel approaches to process data. -Experience developing novel tools for human genetic analyses.
Additional Info:
[Click Here to Access the Original Job Post]
We are seeking an experienced bioinformatics scientist proficient in computational and statistical techniques to develop novel computational approaches for analysis of next generation DNA sequencing data. Duties: -Independently develop novel approaches to analyzing genomic data. -Utilize statistical and machine learning techniques to aide in the interpretation of quantitative genomic data. -Build robust and scalable software (e.g. pipelines) to process large genomic data sets both locally on an HPC cluster and in the cloud. -Work closely with more experimentally focused scientists and clinical geneticists to help push forward key company objectives. -Apply rigorous scientific and engineering standards to your specialized knowledge and skills. Requirements: -Education (PhD) and experience in a quantitatively focused field (e.g. bioinformatics, computational biology, computer science, bioengineering, statistics, or mathematics), or commensurate experience with a proven ability to function in a role with this level of responsibility. -Strong command of statistics and probability and their application to quantitative analyses. -3+ years of programming experience with both compiled (Java preferred) and interpreted (Python strongly preferred) languages. Experience with other languages is a plus. -Experience and comfort working in a Linux/Unix environment. -Proven track record analyzing next-generation DNA sequencing data or performing genomic analyses a strong plus. -Demonstrated ability to glean novel/key features from large data sets. -Experience performing quantitative analyses on large genomic datasets. Willingness to independently analyze results from a next-generation DNA sequencer and help molecular biologists plan follow-on experiments. -Understanding of molecular biology and human genetics/genomics highly desirable. -Statistical/population genetics experience a plus. -Industry or production next generation DNA sequencing experience (e.g., product development and commercialization) a plus. -Experience with sequence variant annotation considered a plus. -Experience developing novel approaches to process data. -Experience developing novel tools for human genetic analyses.
Requeriments :
Skills :
- DNA sequencing
- Genetics
- HPC
- Lunix/Unix
- Machine Learning
- molecular biology
- Next Generation Sequencing
- Population Genetics
- Programing in Python
- Programing Skills
- Programming in Java
- Statistics
Areas :
Additional Info:
[Click Here to Access the Original Job Post]