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PRODID:-//Cancer Epigenetics Society - ECPv5.3.2.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
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:20180325T010000
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TZNAME:CET
DTSTART:20181028T010000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20180228
DTEND;VALUE=DATE:20180330
DTSTAMP:20260729T143622
CREATED:20180228T120457Z
LAST-MODIFIED:20180228T120546Z
UID:19719-1519776000-1522367999@ces.b2sg.org
SUMMARY:Assistant Scientist
DESCRIPTION:The Sylvester Cancer Center is seeking an Assistant Scientist for the Cancer Epigenetics to work in a highly collaborative\, multi-researcher program investigating the molecular mechanisms of epigenetic regulation of cancer.  \nResponsibilities: We are seeking highly motivated individuals to develop and implement innovative computational approaches for analyzing high throughput genomic and epigenomic data\, including but not limited to\, integrated cancer risk prediction model\, cancer subtype discovery\, genomic and epi-genomic data integration\, single cell RNA-Seq data analysis\, non-coding RNA data analysis\, and other datasets. Projects will include next-generation sequencing based profiling studies of DNA methylation\, hydroxymethylation\, ChIP-seq\, ATAC-seq and RNA-seq to elucidate the role of epigenetic regulation in cancer biology. Applicants should hold a PhD and/or MD degree and have strong computational biology skills. Previous experience with epigenome-wide assays is preferred. The successful candidate will be working in a collaborative environment with multiple faculty members\, biostatisticians and bioinformaticians on translational cancer research.  \nMinimum Qualifications: Ph.D. in Bioinformatics\, Computational Biology\, Biostatistics\, Statistics\, Genetics\, Computer Science\, or a related field. Excellent communications skills in English (both verbal and written). Proficiency in using R/Bioconductor and Perl/Python for genomic data analysis is required. Solid training in quantitative sciences. Experience with R/Bioconductor. Experience with Next-generation sequencing data analysis. Understanding of epigenome biology. Strong programming skills. Strong oral and written communication skills. The ability to work both independently and in a team environment. Ability to write manuscripts independently. 
URL:https://ces.b2sg.org/event/umiami-28feb18/
LOCATION:University of Miami\, 1320 S Dixie Hwy\, Coral Gables\, FL\, 33146\, United States
CATEGORIES:Jobs
ATTACH;FMTTYPE=image/png:https://ces.b2sg.org/wp-content/uploads/2017/02/USylvester.png
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