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PRODID:-//Cancer Epigenetics Society - ECPv5.3.2.1//NONSGML v1.0//EN
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X-WR-CALNAME:Cancer Epigenetics Society
X-ORIGINAL-URL:https://ces.b2sg.org
X-WR-CALDESC:Events for Cancer Epigenetics Society
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TZID:Europe/Paris
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TZOFFSETFROM:+0100
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TZNAME:CEST
DTSTART:20190331T010000
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DTSTART:20191027T010000
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DTSTART;VALUE=DATE:20190201
DTEND;VALUE=DATE:20190305
DTSTAMP:20260730T015131
CREATED:20190201T091610Z
LAST-MODIFIED:20190201T091610Z
UID:21057-1548979200-1551743999@ces.b2sg.org
SUMMARY:Senior Bioinformatician(s)
DESCRIPTION: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. \nRequired skills \n\nPh.D. or M.Sc. in Bioinformatics\, System Biology\, Computer Science or related field\nKnowledge of biology and understanding of key and complex biological concepts (genes\, pathways\, cancer and/or stem cells)\nAbility to work independently while collaborating and assisting the team in its common research goals\nAttention to detail and ability to work on multiple projects is necessary\nExperience in Unix/Linux systems including HPC environments\nScripting languages: Python (preferred) or Perl\nStatistical packages: R (preferred) or Matlab.\n3+ years of experience with sequencing data (e.g. DNA-seq\, RNA-seq\, ATAC-seq or ChIP-seq)\n3+ years of experience creating customized sequencing analysis pipelines\nExcellent communication skills with proficiency in written and oral English\n\n\nExperience: \n\nMachine Learning: 1 year (Preferred)\nPython: 3 years (Required)\nR: 3 years (Required)
URL:https://ces.b2sg.org/event/nyu-1feb19/
LOCATION:NYU School of Medicine\, 550 1st Avenue\, New York\, NY\, 10016\, United States
CATEGORIES:Jobs
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