BEGIN:VCALENDAR
VERSION:2.0
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
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20180325T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20181028T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20181119
DTEND;VALUE=DATE:20181222
DTSTAMP:20260730T114557
CREATED:20181119T152705Z
LAST-MODIFIED:20181119T152824Z
UID:20860-1542585600-1545436799@ces.b2sg.org
SUMMARY:Post-Doctoral Research Fellow - Cancer Genomics
DESCRIPTION:A postdoctoral position in the laboratory of Dr. Gavin Ha and the Computational Biology Program is available immediately. We are seeking a highly motivated individual who is interested in studying cancer and understanding the genetic and epigenetic basis driving cancer progression. Candidates who are excited about large/complex ‘omics’ data analysis and methods development for cancer research are encouraged to apply. The position has a duration of at least one year with a competitive salary and great benefits.\nThe Ha lab is establishing a research program that uses new DNA sequencing technologies to study cancer genomes. The lab is also focused on research involving liquid biopsies\, such as cell-free DNA\, and developing new computational approaches to leverage these data for genome discovery and cancer burden monitoring. The research interests/projects in the Ha lab include:\n\nAnalysis of cancer genomes to understand tumor progression/evolution\, metastatic disease\, non-coding genome alterations\, copy number alterations\, genome rearrangements and 3D structure\, mutational signatures\nDevelopment of novel computational algorithms for long-range (linked-reads or long-reads) whole genome sequencing of tumors\nAnalysis of linked-read whole genome sequencing data to uncover novel alterations driving metastatic prostate cancer\nAnalysis of cell-free DNA in plasma samples from patients under treatment\nDevelopment and analysis of sensitive approaches to detect tumor-derived DNA in cell-free DNA from patient blood plasma\nThe lab will work with collaborators to validate results using functional experiments\nFor examples of recent studies\, see PMID:29909985\, PMID:29109393\, PMID:25060187\nhttps://gavinhalab.github.io/\n\nCandidates with strong interest and/or expertise in any of these research areas are highly encouraged to apply\n\nCancer genomics\, liquid biopsies\, tumor evolution/heterogeneity\nApplication of statistical modeling\, algorithm design\, artificial intelligence to study cancer and genetics\nAnalysis of large\, complex genome\, epigenome\, or transcriptome data\n\n\n\n\nQualifications\n\n\n\n\nApplicants must have a PhD in one of these disciplines: Computational biology\, bioinformatics\, computer science\, data science\, statistics\, computer/electrical engineering\, physics\, or other related fields \nApplicants should have some of the following skills and experience: \n\n\nWork well in team environments; strong communication/organization skills; detail-oriented\nStrong programming experience (R\, Python\, Matlab\, Java\, C/C++\, Perl or other languages for research)\nExperience with high performance computing environments and cloud computing environments is a plus\nExperience with analyzing sequencing data is considered a strong asset\nApplicants must have a demonstrated publication track record.\nA background in cancer biology (esp in prostate or breast cancer) is considered a strong asset.
URL:https://ces.b2sg.org/event/fh-19nov18/
LOCATION:Fred Hutchinson Cancer Research Center\, 1100 Fairview Ave. N.\, Seattle\, WA\, 98109-1024\, United States
CATEGORIES:Jobs
ATTACH;FMTTYPE=image/png:https://ces.b2sg.org/wp-content/uploads/2016/07/fred_hutch.png
END:VEVENT
END:VCALENDAR