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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:20170326T010000
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DTSTART:20171029T010000
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DTSTART;VALUE=DATE:20170605
DTEND;VALUE=DATE:20170706
DTSTAMP:20260730T010017
CREATED:20170605T062320Z
LAST-MODIFIED:20170605T062320Z
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SUMMARY:Machine Learning Data Scientist – Algorithm Development
DESCRIPTION:At Guardant Health\, we are committed to positively and significantly impacting patient health through technology breakthroughs that address long-standing unmet needs in oncology. \nAs the leader in the field of liquid biopsy\, Guardant Health has collected cancer genomic data from over 40\,000 patients and is looking for machine learning data scientists excited about developing statistical and machine learning algorithms aimed at using this data to enable breakthroughs in cancer patient care. \n Potential applications of machine learning using liquid biopsy data include (but are not limited to): \n\nUsing epigenetic signals to detect tissue of origin\nIdentifying biomarkers predicting drug response\nPredicting the occurrence of cancer relapse\nDetecting tumor residues after surgery\nEnabling early detection of cancer in high risk patients\n\nRESPONSIBILITIES \n\nUse machine learning and signal processing techniques to develop new algorithms for NGS data analysis with impact on clinical patient care\nElucidate key dependencies and factors explaining observed mutational profiles across cancer types\nIntegrate internal and external genomic data sources for comprehensive analysis\nInteract with medial affairs and technology teams to include expert knowledge of data attributes and to design experiments generating most pertinent data for analysis\nParticipate in brainstorming sessions\, create and maintain a highly productive and motivating work environment\nProvide written documentation and specifications\n\n\nABOUT YOU \n\nPhD. in machine learning\, high dimensional statistics\, computational biology\, engineering\, mathematics\, physics or related fields\nExperienced machine learning algorithm developer with focus on genomic data applications:\n\nExperience using regression\, supervised and unsupervised learning\nExperience using deep learning applications to genomic data\nExpert knowledge of probability and statistics with focus on working with high-dimensional data\n\n\nExperienced in Python\, R\, and C/C++\nFamiliar with high-performance computing (SGE / grid\, Mesos\, MPI)\nGreat communicator with great written and verbal fluency in English\nAbility to work independently\, with minimal supervision\nDedicated to make a difference in a rapid-paced startup environment\n\nWe would like to talk with you about our exciting projects we currently have ongoing. 
URL:https://ces.b2sg.org/event/data-sci-guardant/
LOCATION:Guardant Health\, 505 Penobscot Dr.\, Redwood City\, CA\, 94063\, United States
CATEGORIES:Jobs
ATTACH;FMTTYPE=image/jpeg:https://ces.b2sg.org/wp-content/uploads/2017/05/guardant-health.jpg
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