Job ID:
Job date: 2017-01-19
End Date:
Company : Cavalier IT Solutions Country : Role : Research Scientist
Job date: 2017-01-19
End Date:
Company : Cavalier IT Solutions Country : Role : Research Scientist
Job Description:
MS in Bioinformatics or at least 3 years of experience in Computational Biology, Immunology, Statistics, Network Pharmacology / Systems Biology, Bioinformatics or related field. PhD is preferred. Experience with high content data analysis, such as RNAseq, whole genome sequencing, and proteomic data is required. Familiarity with human translational research, clinical trial metadata, and experience with predictive models and diagnostics is a plus The candidate must have a current knowledge of the bioinformatics scientific literature (expecially for RNASeq) and strong communication skills Ability to perform data QC and interface with internal wet laboratory to ensure quality and compliance with appropriate internal policies is a required Statistical skills and experience with large datasets (gene expression, proteomic data, and NGS), predictive models and diagnostics, network analysis, and clinical trial data are required Proficiency in standard analytical platforms (e.g., R, Matlab) as well as, gene set enrichment and pathway analysis software tools (e.g.GSEA/GSVA, Thomson-Reuters GeneGo, Ingenuity, Cytoscape, etc.) is required. Programming skills in Python are highly desired. Strong communication (written and oral presentation) and organization skills, and ability to handle multiple projects simultaneously are essential Expertise in predictive algorithms and experience in biomarker discovery and/or co-diagnostic development for pharmaceutical applications is preferred
Additional Info:
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MS in Bioinformatics or at least 3 years of experience in Computational Biology, Immunology, Statistics, Network Pharmacology / Systems Biology, Bioinformatics or related field. PhD is preferred. Experience with high content data analysis, such as RNAseq, whole genome sequencing, and proteomic data is required. Familiarity with human translational research, clinical trial metadata, and experience with predictive models and diagnostics is a plus The candidate must have a current knowledge of the bioinformatics scientific literature (expecially for RNASeq) and strong communication skills Ability to perform data QC and interface with internal wet laboratory to ensure quality and compliance with appropriate internal policies is a required Statistical skills and experience with large datasets (gene expression, proteomic data, and NGS), predictive models and diagnostics, network analysis, and clinical trial data are required Proficiency in standard analytical platforms (e.g., R, Matlab) as well as, gene set enrichment and pathway analysis software tools (e.g.GSEA/GSVA, Thomson-Reuters GeneGo, Ingenuity, Cytoscape, etc.) is required. Programming skills in Python are highly desired. Strong communication (written and oral presentation) and organization skills, and ability to handle multiple projects simultaneously are essential Expertise in predictive algorithms and experience in biomarker discovery and/or co-diagnostic development for pharmaceutical applications is preferred
Requeriments :
Skills :
- Genetics
- Next Generation Sequencing
- Programing in Python
- Programming in Matlab
- Programming in R
- RNA-seq
- Statistics
Areas :
Additional Info:
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