Hi Partner,

Please send your consultant's profile at pa...@hanac.us

*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 
"US_IT.Groups" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to us_itgroups+unsubscr...@googlegroups.com.
To post to this group, send email to us_itgroups@googlegroups.com.
Visit this group at https://groups.google.com/group/us_itgroups.
For more options, visit https://groups.google.com/d/optout.

Reply via email to