Do you enjoy working with computational scientists, biologists and clinicians in a dynamic, interdisciplinary and collaborative environment? Our lab (http://www.tsirigos.com/) 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 (http://nyulmc.org/abl). 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

Experience:

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