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PRODID:-//Cancer Epigenetics Society - ECPv5.3.2.1//NONSGML v1.0//EN
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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:20170626
DTEND;VALUE=DATE:20170727
DTSTAMP:20260729T195715
CREATED:20170626T064218Z
LAST-MODIFIED:20170626T064218Z
UID:18447-1498435200-1501113599@ces.b2sg.org
SUMMARY:Computational Biologist - Cancer Biology
DESCRIPTION:OBJECTIVES: \nWe are looking for a Computational Biologist to provide scientific insight from large and diverse biological datasets. This is an exciting opportunity to work with a dedicated team of scientists to form data driven decisions\, propose actionable and testable solutions to identify and progress novel cancer therapeutics. The candidate will be expected to contribute to our mission to provide innovative cancer therapies to patients across our pipeline of novel therapeutics including small molecules\, antibody-drug conjugates and immune-oncology therapies.  The candidate will be influential across the entire drug discovery spectrum from target identification and validation through mechanism-of-action\, translational hypotheses and biomarkers to inform clinical practice. \nACCOUNTABILITIES: \nApply computational methods to integrate\, visualize and interpret data resulting from Proteomic\, Genomic\, Next Generation Sequencing and efficacy data from in-vitro or pharmacology pre-clinical studies. \nEstablish a collaborative and influential role within Drug Discovery project teams comprised of cell biologists\, biochemists and pharmacologists. Be responsible for analysis to deduce\, summarize and communicate results contributing to the understanding of drug indication\, mechanism of action\, identification of response predictors and translational biomarkers \nWork collaboratively with data scientists and the information technology group to participate in enhancing our AWS computational infrastructure capable of performing genome scale data analysis on abundant proprietary and comprehensive public data \nQualifications \nEDUCATION\, BEHAVIOURAL COMPETENCIES AND SKILLS:\n \n\nPhD.\, Post Doctorate\, or MS. in a computational biology or bio-informatics field with 5 years industry or academic experience in a data scientist role.\nThe ideal candidate would have experience with:\nGenome scale or big data analysis derived from Next Generation Sequencing including; Exome\, RNA-SEQ\, miRNA\, Copy Number\, Epigenetics and synthetic lethal screens.\nData mining\, text mining\, systems biology and visualization solutions including: Rstudio\, Shiny\, Omicsoft Array Studio\, Spotfire\, MetaCore\, Ingenuity and MsigDB.\nProgramming\, AWS cloud computing and command line expertise; SQL\, Perl\, Python\, R.\nOur desired candidate would have strong organizational and interpersonal skills including excellent oral and written communication with a desire to work well in a matrix collaborative team setting.\n\nwe are driven to improve people’s lives \nwww.takedajobs.com
URL:https://ces.b2sg.org/event/takeda-comp-bio/
LOCATION:Takeda Pharmaceuticals\, 35 Landsdowne St\, Cambridge\, MA\, 02139\, United States
CATEGORIES:Jobs
ATTACH;FMTTYPE=image/jpeg:https://ces.b2sg.org/wp-content/uploads/2017/06/takeda.jpg
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