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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;VALUE=DATE:20171223
DTEND;VALUE=DATE:20180125
DTSTAMP:20260729T133042
CREATED:20171223T135303Z
LAST-MODIFIED:20171223T135516Z
UID:19522-1513987200-1516838399@ces.b2sg.org
SUMMARY:DATA SCIENTIST
DESCRIPTION:DATA SCIENTIST \nComputer Science and Software Engineering \nGRAIL is a life sciences company whose mission is to detect cancer early when it can be cured. GRAIL is using the power of high-intensity sequencing\, population-scale clinical trials\, and state of the art Computer Science and Data Science to enhance the scientific understanding of cancer biology and develop blood tests for early-stage cancer detection.  We are seeking passionate and talented individuals to join us in realizing our mission\, which has the potential to dramatically reduce the global burden of cancer. \nPOSITION SUMMARY \nOur data science team is responsible for cleaning\, preparing\, and analyzing ever increasing data sets to identify patterns to enable to early detection of cancer. We deeply understand our data and use those insights to build better methods\, pipelines\, and assays. As a data scientist\, you will build models based on some of the largest\, richest biological datasets in the world. Your rigorous analysis will guide our assay and bioinformatic pipeline development. Working closely with scientists\, clinicians\, and engineers\, you will develop new ways to pull signals out of ultra-deep sequencing data and identify cancer at its earliest stages. \nTASKS AND RESPONSIBILITIES  \n\nWork with large\, complex data sets. Solve difficult\, non-routine analysis problems\, applying advanced analytical methods as needed. Conduct end-to-end analysis that include design\, data gathering\, processing\, analysis\, iteration with stakeholders\, and dissemination of results.\nBuild and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of relevant biology\, assays\, data structures\, and available features.\nInteract cross-functionally with a wide variety of people and teams including research\, software\, clinical\, research\, and product development.\n\nMINIMUM QUALIFICATIONS \n\n2+ years of relevant work experience in data analysis or related field. (e.g.\, as a statistician / data scientist / computational biologist / bioinformatician).\n\nPREFERRED BACKGROUND \n\nPhD degree in a quantitative discipline (e.g.\, statistics\, computational biology\, computer science\, mathematics\, physics\, electrical engineering).\n4+ years of relevant work experience in data analysis or related field. (e.g.\, as a statistician / data scientist / computational biologist) including deep expertise in stochastic modeling\, high-dimensional classification\, and/or unsupervised learning methods.\n\n\nExperience with next generation sequencing data analysis (DNA\, RNA\, or epigenetic analysis).\nDeep experience with a statistical programming language (e.g.\, R).\n\n\nDemonstrated expertise in one programming language (Python\, Go\, C++\, etc.)\, proficiency in Linux environment\, experience with database languages (e.g.\, SQL)\, experience with version control practices and tools (Git\, Perforce\, etc.).\nDemonstrated experience with and track record of implementing reproducible research practices.\n\n\nApplied experience with machine learning on large datasets.\nDemonstrated effective written and verbal communication skills.\nDemonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques.
URL:https://ces.b2sg.org/event/grail-23dec17/
LOCATION:GRAIL\, Menlo Park\, CA\, United States
CATEGORIES:Jobs
ATTACH;FMTTYPE=image/jpeg:https://ces.b2sg.org/wp-content/uploads/2017/12/grail.jpg
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