Job ID: 17-04635
Job date: 2017-05-17
End Date:
Company : Ascent Services Group Country : Role : Technician
Job date: 2017-05-17
End Date:
Company : Ascent Services Group Country : Role : Technician
Job Description:
The Applied Computational Biology team supports functional genomics projects across the entire drug pipeline from target discovery through pre-clinical and clinical development as well as manufacturing. This position will work closely with scientists to design genomic experiments that incorporate NextGen Sequencing approaches (e.g., RNA-Seq, targeted amplicon sequencing) and will employ cutting edge bioinformatics approaches to support discovery of Client drug targets, biomarkers, compound mechanism of action, and improved quality control in therapeutic protein manufacturing. Respondibilities: -Work closely with the computational biology/genomics group, data sciences team, wet lab scientists and key stakeholders to understand immediate requirements in analyzing large scale biological network data. -Expected to analyze RNASeq and proteomic data and apply open source R packages to create and annotate biological networks that will be used to drive target and biomarker discovery for drug programs. -With a basic background in biology, also expected to interact, on regular bases, with biologists to understand their needs and deliver results back in layman’s language. Qualifications: -B.S. in Bioinformatics, Computational Biology, Computer Science, Genetics, Mathematics/Statistics, Engineering, or a related field or discipline with an emphasis on genomics and bioinformatics. M.S. or Ph.D. is desired. -Experience with network analysis algorithms or graph theory, and an understanding of how biological networks are derived from genomic and proteomic data, is required; -Experience with one or more of the following is required: Python, R, Java, Bash, Perl, Relational Databases; -Experience analyzing large scale genomic data such as RNAseq, DNASeq, proteomics, etc is desired; -Knowledge of various biological databases (BioGRID, String, HumanNet) is desired; -Experience working in cross-functional groups at the intersection of data analytics and biology is desired.
Additional Info:
[Click Here to Access the Original Job Post]
The Applied Computational Biology team supports functional genomics projects across the entire drug pipeline from target discovery through pre-clinical and clinical development as well as manufacturing. This position will work closely with scientists to design genomic experiments that incorporate NextGen Sequencing approaches (e.g., RNA-Seq, targeted amplicon sequencing) and will employ cutting edge bioinformatics approaches to support discovery of Client drug targets, biomarkers, compound mechanism of action, and improved quality control in therapeutic protein manufacturing. Respondibilities: -Work closely with the computational biology/genomics group, data sciences team, wet lab scientists and key stakeholders to understand immediate requirements in analyzing large scale biological network data. -Expected to analyze RNASeq and proteomic data and apply open source R packages to create and annotate biological networks that will be used to drive target and biomarker discovery for drug programs. -With a basic background in biology, also expected to interact, on regular bases, with biologists to understand their needs and deliver results back in layman’s language. Qualifications: -B.S. in Bioinformatics, Computational Biology, Computer Science, Genetics, Mathematics/Statistics, Engineering, or a related field or discipline with an emphasis on genomics and bioinformatics. M.S. or Ph.D. is desired. -Experience with network analysis algorithms or graph theory, and an understanding of how biological networks are derived from genomic and proteomic data, is required; -Experience with one or more of the following is required: Python, R, Java, Bash, Perl, Relational Databases; -Experience analyzing large scale genomic data such as RNAseq, DNASeq, proteomics, etc is desired; -Knowledge of various biological databases (BioGRID, String, HumanNet) is desired; -Experience working in cross-functional groups at the intersection of data analytics and biology is desired.
Requeriments :
Skills :
- Biology
- DNA sequencing
- genomic
- Next Generation Sequencing
- Programing in Python
- Programming in Java
- Programming in PERL
- Programming in R
- RNA-seq
Areas :
Additional Info:
[Click Here to Access the Original Job Post]