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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:20180410
DTEND;VALUE=DATE:20180513
DTSTAMP:20260729T135923
CREATED:20180410T163514Z
LAST-MODIFIED:20180508T102102Z
UID:19860-1523318400-1526169599@ces.b2sg.org
SUMMARY:Senior Scientist/Principal Scientist - Computational Biology
DESCRIPTION:he Senior Scientist /Principal Scientist leads the identification and incorporation of new technologies or best practices to enhance a specific scientific or technical area and/or leads a portfolio project. She/he also identifies and proposes external collaborations.\n\nIn the Bioinformatics Expert role\, the incumbent works as a member of Cross-Functional Project Teams and contributes to the discovery of First-in-Class or Breakthrough drugs. Evaluate\, acquire/develop\, and champion the use of genomics data and bioinformatics tools as a foundation to drive innovation in the BI portfolio. Support new therapeutic concept (NTC) discovery\, proof of clinical principal (PoCP)\, and mechanism of action (MOA) studies. Lead/contribute to disease and mechanistic model characterization to expand the role of genes\, pathways\, and cell types in the pathogenesis\nAs an employee of Boehringer Ingelheim\, you will actively contribute to the discovery\, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally\, offering visibility and opportunity to directly contribute to the companies’ success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment\, meaningful work\, diversity and inclusion\, mobility\, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim’s high regard for our employees\nDuties & Responsibilities:\n\nDevelopment of Analysis Plans in close collaboration with the TA Partner\, by 1)providing conceptual input into analysis plans (approaches and experimental design)\, and 2)engaging in cross-functional discussions to refine plans and identify key priorities\nCompletes bioinformatics data analysis as specified by analysis plans\, and provides interpretation and context to results of analysis\nIdentify\, evaluate\, and apply new methodologies and emerging technologies\, and develop software tools when appropriate\, to contribute to projects across TAs\nDemonstrate a high level of AAI capabilities by taking the initiative without waiting for direction\, working with a sense of urgency to discover breakthrough medicines that will improve patients’ lives\, sharing ideas beyond own team\, and challenging the status quo\n\nSenior Scientist Requirements:\n\nPh.D. degree or equivalent from an accredited institution in biological\, statistical\, computational\, or other quantitative science.\nTwo (2) or more years of relevant experience in drug discovery or biomedical research environment after completing a doctoral degree.\nIs a locally recognized science and/or technology subject matter expert within his/her department who develops and implements experimental approaches that contribute to department/Discovery Research goals by demonstrating expert knowledge to advance the portfolio. The development of a strong publication record within his/her expertise area is expected.\nExperience with experiment design\, and hands-on NGS (RNAseq\, single-cell NGS\, whole genome\, exome\, miRNA\, or mcrobiome) data processing and analysis.\nExperience in biological pathways\, data visualization\, network and systems biology (GSEA\, GeneGO\, CBDD\, Cytoscape\, Reactome).\nProficiency using R and Bioconductor packages and one or more programming language (Python\, Perl\, and Javascript).\nTrack record of designing\, leading\, and managing computational research projects.\nBackground in or familiarity with gene expression data (microarray\, RNA seq) analysis and biological interpretation.\nUnderstanding of biology of the diseases relevant to at least one of the TAs in Ridgefield (I&R\, CMDR\, and Cancer Immunology).\nExcellent communication and presentation skills.\nExperience working with patient-centric data\, GWAS\, and eQTL analysis is desirable.\nExperience working with Linux environment\, high performance computing clusters\, and cloud computing.\nIs a recognized expert in an area of genomics\, proteomics\, epigenetics\, and/or other high dimensional data analysis; always up-to-date with the latest methods developments in the field; fully understands internal capabilities in the area\, as well as external capabilities (service providers as well as academics and collaborators)\nProvides expert-level scientific and bioinformatics expertise within the area(s) of biology and human disease addressed by the TAs. Knowledge of current key datasets\, therapeutic landscape and demographic/epidemiological considerations within TA is required.\nComply with all company policies\, and maintain high quality of data and analyses (consistency checks at the logical and scientific level are implemented)\n\n\nPrincipal Scientist Requirements: \n\nPh.D. degree or equivalent from an accredited institution in biological\, statistical\, computational\, or other quantitative science.\nFive (5) or more years of relevant experience in drug discovery or biomedical research environment after completing a doctoral degree\, with at least two (2) years’ experience in drug discovery.\nIs a recognized science and/or technology subject matter expert across BI with a sustained publication and external presentation record.\nShe/he identifies new methodologies\, protocols and/or test procedures that contribute to department and Discovery Research goals and proactively proposes creative solutions to department or Discovery Research leadership.\nExperience with experiment design\, and hands-on NGS (RNAseq\, single-cell NGS\, whole genome\, exome\, miRNA\, or mcrobiome) data processing and analysis.\nExperience in biological pathways\, data visualization\, network and systems biology (GSEA\, GeneGO\, CBDD\, Cytoscape\, Reactome).\nProficiency using R and Bioconductor packages and one or more programming language (Python\, Perl\, and Javascript).\nTrack record of designing\, leading\, and managing computational research projects.\nBackground in or familiarity with gene expression data (microarray\, RNA seq) analysis and biological interpretation.\nUnderstanding of biology of the diseases relevant to at least one of the TAs in Ridgefield (I&R\, CMDR\, and Cancer Immunology).\nExcellent communication and presentation skills.\nExperience working with patient-centric data\, GWAS\, and eQTL analysis is desirable.\nExperience working with Linux environment\, high performance computing clusters\, and cloud computing.\nIs a recognized expert in an area of genomics\, proteomics\, epigenetics\, and/or other high dimensional data analysis; always up-to-date with the latest methods developments in the field; fully understands internal capabilities in the area\, as well as external capabilities (service providers as well as academics and collaborators)\nProvides expert-level scientific and bioinformatics expertise within the area(s) of biology and human disease addressed by the TAs.\nKnowledge of current key datasets\, therapeutic landscape and demographic/epidemiological considerations within TA is required.\nComply with all company policies\, and maintain high quality of data and analyses (consistency checks at the logical and scientific level are implemented)\n\n\nEligibility Requirements:\n\nMust be legally authorized to work in the United States without restriction.\nMust be willing to take a drug test and post-offer physical (if required)\nMust be 18 years of age or older
URL:https://ces.b2sg.org/event/boehringer-10apr18/
LOCATION:Boehringer Ingelheim\, Ridgefield\, CT\, United States
CATEGORIES:Jobs
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