Develop, benchmark, and deploy a computational approach for data integration across genetic and single cell/bulk RNAseq data to identify and prioritize disease causal genes in inflammatory skin diseases and explore patient heterogeneity/endotypes; Develop and test computational pipelines to enable integration of single cell/bulk RNAseq and genome-wide association study summary statistics to infer the underlying cell types, processes, and mechanisms by which genetic variants influence disease and communicate results to the larger Immunology Translational Sciences team; As an Intern in the ImmunoDermatology (Immunology, Translational Science) role, you will be a member of a team dedicated to the research and development of precision medicine strategies in inflammatory skin disease
Requirements:
Enrolled in a Master’s Degree or Ph.D. in computational biology/bioinformatics, data science, human genetics, or immunology is required; Planning, execution, and interpretation of advanced multi-modal “omics” data. Candidates should have experience in statistical genetics and high-throughput sequence data analysis (single cell and bulk RNAseq); The ability to program in R or Python, and experience working with genome-wide association study and ‘omics data
Text:
IMM Derm Bioinformatics CoOp Develop, benchmark, and deploy a computational approach for data integration across genetic and single cell/bulk RNAseq data to identify and prioritize disease causal genes in inflammatory skin diseases and explore patient heterogeneity/endotypes; Develop and test computational pipelines to enable integration of single cell/bulk RNAseq and genome-wide association study summary statistics to infer the underlying cell types, processes, and mechanisms by which genetic variants influence disease and communicate results to the larger Immunology Translational Sciences team; As an Intern in the ImmunoDermatology (Immunology, Translational Science) role, you will be a member of a team dedicated to the research and development of precision medicine strategies in inflammatory skin disease. Enrolled in a Master’s Degree or Ph.D. in computational biology/bioinformatics, data science, human genetics, or immunology is required; Planning, execution, and interpretation of advanced multi-modal “omics” data. Candidates should have experience in statistical genetics and high-throughput sequence data analysis (single cell and bulk RNAseq); The ability to program in R or Python, and experience working with genome-wide association study and ‘omics data
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