Job Description:
Columbia University JP Sulzberger Genome Center is seeking a highly motivated Bioinformatics Analyst with strong expertise in high-throughput sequencing and single-cell RNA sequencing. The Genome Center is equipped with state-of-the-art high-throughput sequencing instruments and a Single Cell Analysis Core with equipment for gene expression profiling in individual cells. It has extensive collaborations with investigators at Columbia University in studies on biology, human diseases, and precision medicine. This position will specifically involve the application and development of computational methods for analyzing single-cell RNA sequencing data. More information can be found at http://genome.columbia.edu The successful applicant would join the Single Cell Analysis Core bioinformatics team, which is located in the Department of Systems Biology, a vibrant hub for interdisciplinary research. Characteristic Duties and Responsibilities: The incumbent will be required to carry out the following duties and responsibilities: -Improve and maintain a robust and highly automated computational pipeline for analyzing single-cell RNA-Seq data and releasing the results to core users; -Improve quality control procedures and interpret quality control metrics; -Work with sequencing production team to improve Standard Operating Procedures and troubleshoot single cell sequencing experiments; -Interact with core users to explain the results of single cell RNA-Seq experiments and to develop further analyses based on user feedback; -Carry out data analysis in strategic projects, including new technology development and collaborations. Minimum Qualifications for Grade: Applicant MUST meet these minimum qualifications to be considered an applicant -Bachelor degree in Computational Biology, Bioinformatics, Genetics, or equivalent in education and experience, plus two years of related experience. -Demonstrated experience in high-throughput sequencing data analysis or method development. -Excellent communication skills and teamwork. -Programming: Fluency with at least one general-purpose programming language (such as C/C++, Ruby, Perl, or Python), and one language for scientific computing (such as R or MATLAB). Experience with source code version control systems. -Strong creative thinking and problem solving skills. Preferred Qualifications: -Graduate degree in Computational Biology, Bioinformatics, Genetics, or equivalent.
Additional Info:
EEO Statement: Columbia University is an Equal Opportunity/Affirmative Action employer --Race/Gender/Disability/Veteran. Local Hiring: Columbia University is committed to the hiring of qualified local residents. Return to Search Results [Click Here to Access the Original Job Post]
Columbia University JP Sulzberger Genome Center is seeking a highly motivated Bioinformatics Analyst with strong expertise in high-throughput sequencing and single-cell RNA sequencing. The Genome Center is equipped with state-of-the-art high-throughput sequencing instruments and a Single Cell Analysis Core with equipment for gene expression profiling in individual cells. It has extensive collaborations with investigators at Columbia University in studies on biology, human diseases, and precision medicine. This position will specifically involve the application and development of computational methods for analyzing single-cell RNA sequencing data. More information can be found at http://genome.columbia.edu The successful applicant would join the Single Cell Analysis Core bioinformatics team, which is located in the Department of Systems Biology, a vibrant hub for interdisciplinary research. Characteristic Duties and Responsibilities: The incumbent will be required to carry out the following duties and responsibilities: -Improve and maintain a robust and highly automated computational pipeline for analyzing single-cell RNA-Seq data and releasing the results to core users; -Improve quality control procedures and interpret quality control metrics; -Work with sequencing production team to improve Standard Operating Procedures and troubleshoot single cell sequencing experiments; -Interact with core users to explain the results of single cell RNA-Seq experiments and to develop further analyses based on user feedback; -Carry out data analysis in strategic projects, including new technology development and collaborations. Minimum Qualifications for Grade: Applicant MUST meet these minimum qualifications to be considered an applicant -Bachelor degree in Computational Biology, Bioinformatics, Genetics, or equivalent in education and experience, plus two years of related experience. -Demonstrated experience in high-throughput sequencing data analysis or method development. -Excellent communication skills and teamwork. -Programming: Fluency with at least one general-purpose programming language (such as C/C++, Ruby, Perl, or Python), and one language for scientific computing (such as R or MATLAB). Experience with source code version control systems. -Strong creative thinking and problem solving skills. Preferred Qualifications: -Graduate degree in Computational Biology, Bioinformatics, Genetics, or equivalent.
Requeriments :
Skills :
- Programing in C
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Matlab
- Programming in PERL
- Programming in R
- RNA-seq
- Version Control
Areas :
Additional Info:
EEO Statement: Columbia University is an Equal Opportunity/Affirmative Action employer --Race/Gender/Disability/Veteran. Local Hiring: Columbia University is committed to the hiring of qualified local residents. Return to Search Results [Click Here to Access the Original Job Post]