Sr. Scientist 1, Translational Genomics (Bioinformatics)

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Job date: 2014-10-04
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Company : Onyx Pharmaceuticals 

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Role : Research Scientist 


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Job Description:

Job description

As part of our commitment to bring effective therapies to patients with cancer, we are seeking a motivated computational biologist to join a team focused on the development of personalized medicine for patients with malignant disease. Employing data from state-of-the-art genomic analyses, the bioinformatics scientist will discover & validate molecular signatures that predict clinical response to Onyx compounds in patients with hematological and solid tumors. Signatures will be derived from the genomes and transcriptomes of tumors biopsied from patients on Onyx clinical trials and of cancer cell lines exposed to Onyx drugs; publicly and commercially available genomic databases will also be employed. The new hire will collaborate internally with molecular biologists and clinical scientists in order to validate pathways associated with drug response and translate findings into clinical practice. The scientist will also collaborate externally with academics, research consortiums and CROs. • Analyze proprietary & public data to better understand the molecular determinants of response to drugs in the Onyx pipeline. • Help develop biomarker discovery plans for new molecules in the pipeline. • Present findings internally and at external research meetings. • Publish findings in peer-reviewed journals. • Other Duties as assigned Basic Qualifications Ph.D. Preferred Qualifications • Ph.D. in Bioinformatics, Biology, Physics, Statistics, or Computer Science with at least 5 years of bioinformatics experience. • Mastery of Linux and at least one programming language (e.g., Java, R, C/C++ or Python). • Analysis of next-generation sequencing data, particularly Whole Exome Sequencing (WES) data derived from tumor biopsies. • Solid working knowledge of statistics (e.g., statistical tests, multiple test corrections, linear regression). Experience with methods commonly applied in cancer genetics and biomarker discovery studies. • Experience building bioinformatics pipelines and working on distributed compute clusters are pluses. • Solid understanding of molecular biology, especially as it relates to cancer. • Evidence of above skills and of writing proficiency from peer-reviewed publications. • Ability to prepare and present scientific results


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