Columbia University JP Sulzberger Genome Center within the Department of Systems Biology, is seeking a highly motivated Bioinformatics Analyst with strong expertise in bioinformatics, 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 bulk and single-cell RNA sequencing data, focusing on custom bioinformatics projects from Core users.
The successful applicant would join the Next-Generation Sequencing Lab and Single Cell Analysis Core bioinformatics teams, which are located in the Department of Systems Biology, a vibrant hub for interdisciplinary research.
Improve robust and highly automated computational pipelines for analyzing and storing bulk and single cell RNA-Seq data, exome, genome sequencing data.
Analyze and integrate newly reported computational tools. This includes recently described computational methods for regulatory network inference and analysis (e.g. VIPER, metaVIPER, ARACNE), matrix factorization methods (e.g. scHPF), and trajectory analysis tools (e.g. topological data analysis, Monocle3).
Work with sequencing team to improve Standard Operating Procedures and troubleshoot experiments. This includes both 3???- and 5???-end implementations of single-cell RNA-seq with the 10x Genomics Chromium platform, T cell receptor repertoire profiling with the 10x Genomics Chromium platform, single-cell RNA-seq with plate-based whole transcriptome amplification, and single-cell ATAC-seq with the 10x Genomics Chromium platform.
Interact with core users to explain the experimental results and to develop further analyses based on user feedback;
Carry out data analysis in strategic research projects, including new technology development and collaborations; participate manuscript writing.
Provide advice in study design and analytical approaches to existing or new users.
Bachelor degree in Computational Biology, Bioinformatics, Genetics, or equivalent in education and experience, plus three years of related experience.
Graduate degree in Computational Biology, Bioinformatics, Genetics, or equivalent.
Demonstrated experience in high-throughput sequencing data analysis or method development.
Excellent communication skills and teamwork.
Programming: Fluency with Python, R, and UNIX. Experience with source code version control systems.
Strong creative thinking and problem-solving skills.
Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.
Internal Number: 515454
About Columbia University
Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.