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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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TZID:Europe/Paris
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DTSTART:20180325T010000
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DTSTART:20181028T010000
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DTSTART;VALUE=DATE:20180305
DTEND;VALUE=DATE:20180407
DTSTAMP:20260729T151806
CREATED:20180305T075636Z
LAST-MODIFIED:20180305T075636Z
UID:19756-1520208000-1523059199@ces.b2sg.org
SUMMARY:Research Investigator
DESCRIPTION:We are seeking a highly motivated bioinformatician to join our Translational Bioinformatics Immunoscience (IMS) and Small Molecule Immuno-Oncology (smIO) team. The successful candidate will help advance Bristol-Myers Squibb’s industry leading IMS and IO pipelines through the strategic application of cutting edge bioinformatics approaches. This team interacts with and influences all aspects at BMS from early discovery through development. \nResponsibilities \nAnalyze various -omic-scale data including RNA-Seq\, Exome and Whole Genome Sequencing\, single cell sequencing\, high throughput proteomics\, and multiplex flow cytometry in order to nominate novel drug targets\, enable patient enrichment strategies\, and prioritize combination therapies. \nIntegrate and mine large-scale external data sets (GEO\, TCGA\, 1KG\, EXAC\, Cosmic) to further our understanding of autoimmune diseases and cancer pathogenesis. \nCollaborate with bioinformaticians\, statisticians and biologists to implement and execute bioinformatics and statistical analysis plans. \nQualifications: \n\nPh.D. in bioinformatics\, engineering\, statistics\, physics\, molecular biology\, genetics\, or a similar discipline.\nStrong background in -omic (DNA\, RNA\, epigenetic\, proteomic) data analysis and biological interpretation\nSolid background in Immunoscience and/or Immuno-Oncology biology.\nAbility to communicate effectively with biologists\, biostatisticians and computational scientists.\nProficiency using R and Bioconductor packages\, at least one scripting language (Python\, Perl)\, and SQL.\nExperience working with Linux high performance compute clusters and cloud based computing platforms (Amazon EC2).\nWorking knowledge of commercial and publicly available biological databases including NCBI\, Ensembl\, ArrayExpress/GEO\, SRA\, TCGA and 1000 Genomes is expected.\nFluency in NGS experiments and data analysis (e.g. GATK\, Cufflinks\, SAMtools\, BAMtools etc.) is preferred.\nExperience working with data from clinical trials is a plus.
URL:https://ces.b2sg.org/event/bms-5mar18/
LOCATION:Bristol-Myers Squibb\, Princeton\, NJ\, United States
CATEGORIES:Jobs
ATTACH;FMTTYPE=image/jpeg:https://ces.b2sg.org/wp-content/uploads/2018/03/Bristol-Myers-Squibb-bms.jpg
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