Bioinformatics Position in a Genomics Center in a University in the Southern California# Biology - 生物学
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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. 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 in a Genomics Center. The candidates must have
demonstrated experience with data analyses on next-gen sequencing (NGS) data
such as RNA-seq, DNA-seq, genome-seq, ChIP-seq, DNA methylation or
bisulfite sequencing and microarray data 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]
yahoo.com
candidate in the field of bioinformatics, computational biology and/or
genomics. The position is open immediately. 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 in a Genomics Center. The candidates must have
demonstrated experience with data analyses on next-gen sequencing (NGS) data
such as RNA-seq, DNA-seq, genome-seq, ChIP-seq, DNA methylation or
bisulfite sequencing and microarray data 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]
yahoo.com
