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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:20170326T010000
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TZNAME:CET
DTSTART:20171029T010000
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DTSTART;VALUE=DATE:20170801
DTEND;VALUE=DATE:20170902
DTSTAMP:20260729T203705
CREATED:20170801T054350Z
LAST-MODIFIED:20170801T054350Z
UID:18921-1501545600-1504310399@ces.b2sg.org
SUMMARY:Computational Biologist I
DESCRIPTION:The core mission of the computational division of The Center for Epigenetics Research is to leverage genomic and epigenomic data to provide novel insights into cancer epigenetics\, and to communicate these results to multidisciplinary teams of basic and translational scientists\, clinicians\, and group leaders. This is accomplished through the integration of gene expression\, chromatin structure\, and sequence variation with clinical data and experimental animal models\, with the goal of understanding\, predicting\, and gaining therapeutic insight into the epigenetic components of tumorigenesis. \nThe bioinformatics scientist will be responsible for in depth integrative analysis of multiple genomic and epigenomic data types with a focus on advancing a systems level understanding of cancer epigenetics. He/she will also build analysis frameworks and statistical tools to be utilized more broadly across a range of project goals.  \nQualifications:  \n\nPh.D. or equivalent in bioinformatics\, computer science or related field. Ability to maintain detailed records of all analyses and to communicate findings in a clear and concise manner.\nDeep understanding of principles behind current genomic analysis methods\nResearch experience in computational biology\, with an emphasis on next-generation sequencing data\nExtensive experience with scientific computing (R or Matlab)\nProficient in scripting languages (Perl or Python)\nFamiliar with UNIX/Linux environment\nKnowledge of publicly available bioinformatics tools and software packages\nKnowledge of C\, C++\, or Java\nSolid understanding of probability and statistics\nExcellent verbal and written communication skills and ability to present analyses to a multi-disciplinary team of clinicians and scientists\n\n\n\n 
URL:https://ces.b2sg.org/event/msk-compbio-aug17/
LOCATION:Memorial Sloan Kettering\, 1275 York Avenue\, New York\, NY\, United States
CATEGORIES:Jobs
ATTACH;FMTTYPE=image/png:https://ces.b2sg.org/wp-content/uploads/2017/08/memorial-sloan-kettering.png
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