Bioinformatics Position in a Genomics Center in a University in the Southern California# DataSciences - 数据科学
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A Genomics Center/Lab is seeking 1 qualified highly motivated bioinformatics
candidate in the field of bioinformatics, computational biology and/or
genomics. The position is open immediately upon a qualified candidate is
identified. The position requires a diverse range of expertise in data
mining, machine learning, statistics, biological database manipulation and
biology. The successful candidates must have a MS or a PhD degree or
equivalent experience in bioinformatics, computational biology,
biostatistics and genomics and will have opportunity to work on a few high
profile projects with potential high impact publications in a Genomics
Center. The candidates must have demonstrated experience with data analyses
from next-gen sequencing (NGS) data such as RNA-seq, DNA-seq, genome-seq,
ChIP-seq, DNA methylation or bisulfite sequencing and microarrays using both
supervised and unsupervised learning techniques. Hands-on experience on
various NGS pipelines, algorithms involving R package/language, Bioconductor
and Python with excellent coding ability are required. Knowledge in human
biology and molecular biology will be great plus. The applicants with a MS
in computational biology, bioinformatics, Optional Practical Training (OPT)
are encouraged to apply. If interested, please send your updated CV to:
[email protected]
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candidate in the field of bioinformatics, computational biology and/or
genomics. The position is open immediately upon a qualified candidate is
identified. The position requires a diverse range of expertise in data
mining, machine learning, statistics, biological database manipulation and
biology. The successful candidates must have a MS or a PhD degree or
equivalent experience in bioinformatics, computational biology,
biostatistics and genomics and will have opportunity to work on a few high
profile projects with potential high impact publications in a Genomics
Center. The candidates must have demonstrated experience with data analyses
from next-gen sequencing (NGS) data such as RNA-seq, DNA-seq, genome-seq,
ChIP-seq, DNA methylation or bisulfite sequencing and microarrays using both
supervised and unsupervised learning techniques. Hands-on experience on
various NGS pipelines, algorithms involving R package/language, Bioconductor
and Python with excellent coding ability are required. Knowledge in human
biology and molecular biology will be great plus. The applicants with a MS
in computational biology, bioinformatics, Optional Practical Training (OPT)
are encouraged to apply. If interested, please send your updated CV to:
[email protected]
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