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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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DTSTART:20160327T010000
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DTSTART:20161030T010000
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DTSTART;VALUE=DATE:20160704
DTEND;VALUE=DATE:20160901
DTSTAMP:20260729T193145
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SUMMARY:Postdoctoral Research Associate in pancreatic cancer pathogenesis (Chapel Hill\, NC\, USA)
DESCRIPTION:Lineberger Comprehensive Cancer Center Research Laboratory aims to understand the pathogenesis and pharmacogenomics of pancreatic cancer in order to accelerate its treatment. Using a combination of molecular and genomic data\, and human in mouse models\, we have identified four core subtypes in pancreatic cancer with important biologic and clinical implications. We are seeking a postdoctoral associate in cancer genomics and personalized medicine who will be responsible for computational method development\, data analysis\, and experimental design. The qualified candidate will integrate information from a combination of sources\, including high throughput screens\, proteomic\, and next-gen sequencing data in order to generate and validate hypotheses of therapeutic relevance to pancreatic cancer. The ideal candidate will have excellent qualifications in a quantitative/computational field with a strong interest in learning cancer biology and/or wet bench techniques. Candidates from a largely wet bench background with a Ph.D. may be considered if the quantitative/computational background is excellent. \nTo be successful\, the candidate must have experience in and interested in developing several of the following skill-sets: thorough knowledge of cancer biology\, epigenetics\, proteomics\, and transcriptomics; familiarity with next-generation sequencing data analysis tools; experience working in Linux environments\, including batch job management on shared computing resources; familiarity with a variety of supervised and unsupervised classification techniques; proficiency in one or more statistical or scripting languages\, preferably R or MATLAB; knowledge of survival-based statistical analysis\, e.g. Cox regression and Kaplan-Meier analysis; working knowledge of best-practices for machine learning to avoid over fitting; familiarity with common experimental techniques in molecular biology; ability to communicate scientific material and collaborate well with computational and non-computational partners; excellent oral and written communication skills and the ability to perform both self-directed and guided research; outstanding personal initiative and the ability to work effectively as part of a team; willingness to assist in the mentorship and training of pre-doctoral researchersPh.D. in a quantitative/computational field or a Ph.D. with an equivalent certificate in a quantitative/computational field is required; have experience in handling large datasets and have applied/developed computational algorithms in the context of molecular biology; have a thorough understanding of common statistical tests and distributions; be able to collaborate with experimental team members for validation of computational results; be comfortable maintaining datasets\, as well as displaying and interpreting processed data for publication; work alongside domain experts in the optimization and development of experimental measurement platforms and protocols.
URL:https://ces.b2sg.org/event/postdoctoral-research-associate-in-pancreatic-cancer-pathogenesis/
LOCATION:University of North Carolina – UNC-Chapel Hill\, Chapel Hill\, NC\, United States
CATEGORIES:Jobs
ATTACH;FMTTYPE=image/png:https://ces.b2sg.org/wp-content/uploads/2016/07/U_North_Carolina-2.png
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