Develop novel computational methods and/or application of existing methods for integrating diverse types of molecular multi-scale data; Develop novel statistical models for comparing diverse datasets or network models; Develop novel platforms and pipelines to identify novel therapeutic targets, and to discover biomarkers for drug response, patient stratification; Analyze genomic data including whole genome, whole exome, long read sequencing, RNA-Seq (single cell and bulk), and epigenetic data
Requirements:
Ph.D in quantitative sciences; Computer Science, Mathematics, Statistics, Data Science, Computational Biology or Bioinformatics; 4+ years in analyzing large scale genetic and genomic data and statistical modeling; Expertise in statistical methodologies such as predictive modeling and inference, machine learning methods, mixed effects models, multivariate analysis, network construction, etc
Text:
Data Science Analyst/Bioinformatician - Genetics Research Develop novel computational methods and/or application of existing methods for integrating diverse types of molecular multi-scale data; Develop novel statistical models for comparing diverse datasets or network models; Develop novel platforms and pipelines to identify novel therapeutic targets, and to discover biomarkers for drug response, patient stratification; Analyze genomic data including whole genome, whole exome, long read sequencing, RNA-Seq (single cell and bulk), and epigenetic data Ph.D in quantitative sciences; Computer Science, Mathematics, Statistics, Data Science, Computational Biology or Bioinformatics; 4+ years in analyzing large scale genetic and genomic data and statistical modeling; Expertise in statistical methodologies such as predictive modeling and inference, machine learning methods, mixed effects models, multivariate analysis, network construction, etc
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