Job ID:
Job date: 2018-06-27
End Date: 2018-08-26
Company : Columbia University Country : United States Role : Research Scientist
Job date: 2018-06-27
End Date: 2018-08-26
Company : Columbia University Country : United States Role : Research Scientist
Job Description:
A Bioinformatics Staff Scientist position is available in the laboratory of Dr. Riccardo Dalla-Favera, in the Institute for Cancer Genetics (ICG) to participate in research focusing on the pathogenesis of human B cell lymphoma by integrating genomic, transcriptomic and mouse modeling approaches. The incumbent will be involved in the experimental design and analysis of microarray-based and next-generation sequencing data, will design and implement data analysis pipelines and software to meet the needs of the research group, and will interact with other computational scientists in the Department of Systems Biology. School/Institute/Unit:Physicians and Surgeons, College of Minimum Degree Required: Ph.D. or equivalent in science Minimum Qualifications: All applicants MUST meet these minimum qualifications to be considered for the position. Candidates must have a PhD degree in computer science, computational biology, bioinformatics, systems biology or a related field. Strong computational and machine learning expertise are required. Incumbent must have knowledge of Unix/Linux and command line (BASH) scripting; expertise with programming languages in particular Java and Python; familiarity with running data analysis on a cluster. Familiarity with large-scale data analysis and basic knowledge of molecular biology will be particularly desirable. Preferred Qualifications: Extensive related research experience required; ability to work independently on assignments and supervise other staff.
Additional Info:
The Institute for Cancer Genetics (ICG) at Columbia University is focused on multiple aspects of cancer research including cancer genetics and epigenetics, the study of DNA damage and repair mechanisms, molecular characterization of key players of oncogenesis and development of anti-cancer therapeutics.[Click Here to Access the Original Job Post]
A Bioinformatics Staff Scientist position is available in the laboratory of Dr. Riccardo Dalla-Favera, in the Institute for Cancer Genetics (ICG) to participate in research focusing on the pathogenesis of human B cell lymphoma by integrating genomic, transcriptomic and mouse modeling approaches. The incumbent will be involved in the experimental design and analysis of microarray-based and next-generation sequencing data, will design and implement data analysis pipelines and software to meet the needs of the research group, and will interact with other computational scientists in the Department of Systems Biology. School/Institute/Unit:Physicians and Surgeons, College of Minimum Degree Required: Ph.D. or equivalent in science Minimum Qualifications: All applicants MUST meet these minimum qualifications to be considered for the position. Candidates must have a PhD degree in computer science, computational biology, bioinformatics, systems biology or a related field. Strong computational and machine learning expertise are required. Incumbent must have knowledge of Unix/Linux and command line (BASH) scripting; expertise with programming languages in particular Java and Python; familiarity with running data analysis on a cluster. Familiarity with large-scale data analysis and basic knowledge of molecular biology will be particularly desirable. Preferred Qualifications: Extensive related research experience required; ability to work independently on assignments and supervise other staff.
Requeriments :
Skills :
- Lunix/Unix
- Machine Learning
- Microarray
- molecular biology
- Next Generation Sequencing
- Programing in Python
- Programing Skills
- Programming in Java
Areas :
Additional Info:
The Institute for Cancer Genetics (ICG) at Columbia University is focused on multiple aspects of cancer research including cancer genetics and epigenetics, the study of DNA damage and repair mechanisms, molecular characterization of key players of oncogenesis and development of anti-cancer therapeutics.[Click Here to Access the Original Job Post]