Senior Bioinformatics Analyst

NYU School of Medicine
Job Location
227 East 30th Street
New York, NY 10016
Job Description

Senior Bioinformatics Analyst

The Tsirigos lab ( at the NYU School of Medicine is seeking a highly motivated, enthusiastic and creative individual to become part of a team of scientists investigating the role of epigenetics and chromatin organization in cancer using computational approaches.  The successful candidate will have the opportunity to work on various types of large datasets generated from next-generation sequencing methods including single-cell approaches and will interact with our experimental collaborators.

The successful candidate will also interact with a vibrant group of bioinformaticians in the Applied Bioinformatics Laboratories ( ABL provides computational support and expertise to promote innovative cutting-edge research conducted by principal investigators at the NYU Langone Medical Center. This is a great opportunity to quickly acquire new skills, develop and publish new tools and methods, analyze challenging datasets and be a co-author in multiple studies.


  • Work closely with bench scientists to understand and help accomplish their research goals
  • Analyze various types of sequencing data analysis (e.g. RNA-seq, ChIP-seq, ATAC-seq, Hi-C-seq, bisulfite sequencing, whole-genome sequencing)
  • Perform robust data quality control and validation
  • Adapt genomic data analysis pipelines in a rapidly evolving research environment
  • Develop novel methods for multi-omics data analysis and integration


Required skills

  • Ph.D. or M.Sc. in Bioinformatics, System Biology, Computer Science or related field
  • Knowledge of biology and understanding of key and complex biological concepts (genes, pathways, cancer and/or stem cells)
  • Ability to work independently while collaborating and assisting the team in its common research goals
  • Attention to detail and ability to work on multiple projects is necessary
  • Experience in Unix/Linux systems including HPC environments
  • Scripting languages: Python (preferred) or Perl
  • Statistical packages: R (preferred) or Matlab.
  • 3+ years of experience with sequencing data (two of DNA-seq, RNA-seq and ChIP-seq)
  • 3+ years of experience creating customized sequencing analysis pipelines
  • Excellent communication skills with proficiency in written and oral English


How to Apply

Email Dr. Tsirigos at

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