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Bioinformatics Analyst

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

Do you enjoy working with computational scientists, biologists and clinicians in a dynamic, interdisciplinary and collaborative environment? Our lab ( at the NYU School of Medicine is seeking highly motivated, enthusiastic and creative individuals to investigate the role of genetics, epigenetics and chromatin organization in cancer and/or apply machine learning to develop novel cancer diagnostics. The successful candidate will have the opportunity to work on various types of large genomics and/or imaging datasets and will interact closely with our experimental collaborators and clinicians. 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.

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 (e.g. DNA-seq, RNA-seq, ATAC-seq or ChIP-seq)
  • 3+ years of experience creating customized sequencing analysis pipelines
  • Excellent communication skills with proficiency in written and oral English

Job Type: Full-time


  • Machine Learning: 1 year (Preferred)
  • Python: 3 years (Required)
  • R: 3 years (Required)


  • Master's (Required)
How to Apply

Contact Dr. Tsirigos at