PhD scientist conducting translational cancer research focused on drug development, performing in vitro/in vivo assays on immune and cancer cells in mouse models, analyzing data, and authoring publications in Dr. U. Rudloff's lab at NCI. Requires 2+ years lab experience in immunology/molecular biology.
Builds and maintains reproducible multi-omics data pipelines and analysis workflows supporting NCI cancer research. Requires strong Python/R skills and experience with at least two omics data types.
Conduct multi-omics analyses (scRNA-seq, bulk RNA-seq, proteomics, metabolomics) on organoid systems to characterize fidelity and identify biomarkers. Develop computational pipelines, integrate public datasets, and collaborate with experimental teams. Requires a PhD in bioinformatics or related field with strong R/Python skills.
Develops and maintains bioinformatics pipelines for NGS data analysis including variant calling, gene expression, and genomics assembly. Provides statistical modeling, scripting support, and experimental design consulting for NIAID researchers; requires 4+ years experience and expertise in Python/R and pipeline frameworks.
PhD scientist conducting translational cancer research focused on drug development, performing in vitro/in vivo assays on immune and cancer cells in mouse models, analyzing data, and authoring publications in Dr. U. Rudloff's lab at NCI. Requires 2+ years lab experience in immunology/molecular biology.
Builds and maintains reproducible multi-omics data pipelines and analysis workflows supporting NCI cancer research. Requires strong Python/R skills and experience with at least two omics data types.
Conduct multi-omics analyses (scRNA-seq, bulk RNA-seq, proteomics, metabolomics) on organoid systems to characterize fidelity and identify biomarkers. Develop computational pipelines, integrate public datasets, and collaborate with experimental teams. Requires a PhD in bioinformatics or related field with strong R/Python skills.
Develops and maintains bioinformatics pipelines for NGS data analysis including variant calling, gene expression, and genomics assembly. Provides statistical modeling, scripting support, and experimental design consulting for NIAID researchers; requires 4+ years experience and expertise in Python/R and pipeline frameworks.