Job ID: 99000065
Job date: 2015-11-20
End Date:
Company : CyberCoders Country : Role : Research Scientist
Job date: 2015-11-20
End Date:
Company : CyberCoders Country : Role : Research Scientist
Job Description:
Key Responsibilities Include, But Are Not Limited To •Utilize big data platform to mine large volumes of data across genomics, genetics, pharmaceuticals, and chemicals databases for the identification of new drug-indication hypotheses. •Where existing methods do not suffice propose and test new algorithms and methods for the analysis of this data. •Working closely with the drug development team understand questions pertinent to either our internal drug development pipeline and/or partnerships with pharma companies, developing and executing on a plan to address those questions through application of our existing platform or incorporation of new methods. •Work closely with biological, translational and clinical scientists to design studies for experimental validation of in silico-derived predictions and assist with the analysis and interpretation of study results. •Present the work and results to partners, and at conferences and workshops, and assist in the writing of grant proposals. Requirements The ideal candidate will have broad expertise in bioinformatics and/or computational biology. Specific requirements include: •In-depth familiarity with computational and statistical methodologies for analysis of microarray, next generation sequencing, proteomic and metabolomics data is required. oExperience in the identification of gene signatures for disease causation and integration of these with response signatures of disease modifying drugs would be beneficial. oExperience with the application of machine learning techniques is highly desirable. oSpecific expertise with the data and methodologies associated with the Library of Integrated Network-Based Cellular Signatures project is highly desirable. •Prior experience in a customer facing role. •Proficiency in one or more programming languages e.g. C/C++, Java, Python, Perl in a Linux/UNIX environment. Proficiency in R for statistical analysis is also required. •Familiarity with database management systems •A working understanding of drug discovery and chemo-informatics technologies, drug knowledge databases, gene expression analysis, proteomics and analysis of human genetic variation is beneficial. •Experience developing software in an enterprise environment including using source control tools and tracking activity using project management software. •Must be authorized to work in the United States What You Need for this Position
Additional Info:
[Click Here to Access the Original Job Post]
Key Responsibilities Include, But Are Not Limited To •Utilize big data platform to mine large volumes of data across genomics, genetics, pharmaceuticals, and chemicals databases for the identification of new drug-indication hypotheses. •Where existing methods do not suffice propose and test new algorithms and methods for the analysis of this data. •Working closely with the drug development team understand questions pertinent to either our internal drug development pipeline and/or partnerships with pharma companies, developing and executing on a plan to address those questions through application of our existing platform or incorporation of new methods. •Work closely with biological, translational and clinical scientists to design studies for experimental validation of in silico-derived predictions and assist with the analysis and interpretation of study results. •Present the work and results to partners, and at conferences and workshops, and assist in the writing of grant proposals. Requirements The ideal candidate will have broad expertise in bioinformatics and/or computational biology. Specific requirements include: •In-depth familiarity with computational and statistical methodologies for analysis of microarray, next generation sequencing, proteomic and metabolomics data is required. oExperience in the identification of gene signatures for disease causation and integration of these with response signatures of disease modifying drugs would be beneficial. oExperience with the application of machine learning techniques is highly desirable. oSpecific expertise with the data and methodologies associated with the Library of Integrated Network-Based Cellular Signatures project is highly desirable. •Prior experience in a customer facing role. •Proficiency in one or more programming languages e.g. C/C++, Java, Python, Perl in a Linux/UNIX environment. Proficiency in R for statistical analysis is also required. •Familiarity with database management systems •A working understanding of drug discovery and chemo-informatics technologies, drug knowledge databases, gene expression analysis, proteomics and analysis of human genetic variation is beneficial. •Experience developing software in an enterprise environment including using source control tools and tracking activity using project management software. •Must be authorized to work in the United States What You Need for this Position
Skills :
- Bioinformatics
- Lunix/Unix
- Next Generation Sequencing
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in PERL
- Programming in R
Areas :
Additional Info:
[Click Here to Access the Original Job Post]