Hi Partner, Please send your consultant's profile at [email protected]
*Job Title: Bioinformatics Scientist* *Location: SFO, CA* *Duration: Long Term Contract* *Client: Medivation* *Rate: $55/Hour C2C* *Job Description:* Candidate will work with patient data and develop statistical algorithms, methods, and programs for analysis of clinical genomic sequencing and gene expression data and diagnostic products. Has to manage a team that is designing, building, delivering and supporting high throughput bioinformatics pipelines to support the ongoing biomarker discovery studies. The focus is to apply statistical and mathematical modeling for genomic research and diagnostic product development for advancing drugs in the clinic. Candidate will work closely with scientists, software, database, and outside teams to deliver cutting edge bioinformatics solutions. *Responsibilities:* · Analyze massively parallel signature sequencing clinical genomic data, gene expression and/or next-generation sequencing including RNASeq, Exome, CHiPSeq data for the discovery of novel gene expression patterns, transcripts, novel isoforms, novel gene fusions, mutations etc. · Work collaboratively with research scientists to develop and implement statistical solutions pertaining to gene expression, chromosomal variant analysis, genome annotation and public genomics/genetics databases · Design the computing strategy sequencing workflow data management and the computing infrastructure for processing NGS data (local vs. Amazon cloud, etc.) and lead the execution of the computing strategy in a High Performance Computing (HPC) environment for algorithm development and optimization · Differential gene expression analyses, functional genomic annotations & pathway/gene networks; Statistical data analysis to support assay development experiments and guide experimental approaches · Develop statistical/mathematical models to identify genomic variants such as chromosomal insertions, deletions, CNVs, or SNPs · Accurately identify mutations from clinical next-generation sequencing data, characterize the spectrum of genetic mutations in patient tumors, develops and refine filtering criteria for appropriate elimination of false positive mutation calls *Education:* · Ph.D. or Masters in Computer Science, Computational Biology Statistics, Bioinformatics, Physics or related field is highly desirable. · Strong background in quantitative field, such as statistics, bioinformatics or computer science and a reasonable working knowledge of cancer genomics or molecular biology. · Must have minimum of 5+ years of experience in a similar position which can include a variety of experiences in Graduate research/Postdoc research in Academic Institutions or Life Sciences, Genomics or Pharmaceutical industries *Experiential Background:* · A solid knowledge of cancer biology, hands-on experience in large-scale cancer NGS and microarray data QC, management and analysis. · Fluency in programming (Perl, Python, JAVA, C, C++, BioPerl, Ruby on Rails, and shell in Linux environment); Proficient in statistical data analysis of genomic data using R/BioConductor, SAS, MatLab, etc., with ability to perform statistical analysis, interpret, and effectively communicate results. · Experience with public analysis tools such as BWA, GATK, SAMtools, TopHat, GSEA etc. · Experience with commercial tools such as SpotFire, Partek, GeneSpring, IPA, GeneGo, IPA VA, MuTect etc. · Experience with statistical and mathematical modeling with genomic data Regards, Padam S. #423 402 0924 <423%20402%200924> -- You received this message because you are subscribed to the Google Groups "project managment" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/project-managment. For more options, visit https://groups.google.com/d/optout.
