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Description
The Chiang lab is seeking a bioinformatics research associate to join a dynamic new research group at the University of North Carolina. As part of a collaborative team at the UNC Lineberger Comprehensive Cancer Center, we will collect gene expression data on 2000 tumors per year for the NIH Cancer Genome Atlas project. We are recruiting a highly motivated team member to examine the mechanisms of alternative splicing alterations in cancer sub-types, especially the underlying influence of cell lineage. The successful applicant will develop statistical and computational tools to detect significant changes in alternative splicing from high-throughput RNA-seq data. The candidate will generate reports to summarize these results and store them in a database. In addition, he or she will regularly communicate research findings to other scientists in the group.
Education Requirements
Applicants must have a Master’s degree in bioinformatics, computer science, statistics, electrical engineering, or a related field. A PhD degree is preferred.
Qualifications and Experience
Strong programming skills in C/C++ or Java are required, as well as a solid understanding of statistical methods. The applicant must demonstrate excellent communication skills and resourcefulness in working independently. Previous experience with mySQL, Oracle, R or MATLAB are preferred. The ideal applicant has at least 2 or more years of research experience with sequence analyses, microarray data and genomic databases.
Contact
Please apply online at https://itsapps.unc.edu/RAMS4/detail...1002020&type=N
To apply for this position, please provide cover letter, curriculum vitae and names of 3 references via jobs.unc.edu/1002020. The University of North Carolina at Chapel Hill is an equal opportunity/ADA employer. Women and minorities are encouraged to apply. Supported by the University Cancer Research Fund.
The Chiang lab is seeking a bioinformatics research associate to join a dynamic new research group at the University of North Carolina. As part of a collaborative team at the UNC Lineberger Comprehensive Cancer Center, we will collect gene expression data on 2000 tumors per year for the NIH Cancer Genome Atlas project. We are recruiting a highly motivated team member to examine the mechanisms of alternative splicing alterations in cancer sub-types, especially the underlying influence of cell lineage. The successful applicant will develop statistical and computational tools to detect significant changes in alternative splicing from high-throughput RNA-seq data. The candidate will generate reports to summarize these results and store them in a database. In addition, he or she will regularly communicate research findings to other scientists in the group.
Education Requirements
Applicants must have a Master’s degree in bioinformatics, computer science, statistics, electrical engineering, or a related field. A PhD degree is preferred.
Qualifications and Experience
Strong programming skills in C/C++ or Java are required, as well as a solid understanding of statistical methods. The applicant must demonstrate excellent communication skills and resourcefulness in working independently. Previous experience with mySQL, Oracle, R or MATLAB are preferred. The ideal applicant has at least 2 or more years of research experience with sequence analyses, microarray data and genomic databases.
Contact
Please apply online at https://itsapps.unc.edu/RAMS4/detail...1002020&type=N
To apply for this position, please provide cover letter, curriculum vitae and names of 3 references via jobs.unc.edu/1002020. The University of North Carolina at Chapel Hill is an equal opportunity/ADA employer. Women and minorities are encouraged to apply. Supported by the University Cancer Research Fund.