Work on extending single cell analysis pipelines to include QC and analysis of TCR-seq, CITE-seq, and LIBRA-seq data types; Work on benchmarking the best methods for integration of single cell RNA-seq datasets from different sources; Work with the IT teams to establish and maintain an automated workflow for data acquisition and processing in a cloud-based environment; Develop analytics pipelines for different types of high-dimensional data, including but not limited to data from next generation sequencing, flow cytometry, mass spectrometry, ELISA, Luminex, or imaging
Requirements:
Currently enrolled in an advanced degree program in computational biology, bioinformatics, statistics, computer science, or bioengineering; Currently enrolled or recently graduating from a PhD program is a plus; Good coding experience in Python is required, experience with R also beneficial; Experience in cloud-based computing environment and data science development platforms, such as GitLab, Jupyter, R shiny, Anaconda, and Docker container, is needed
Text:
Co-Op, Computational Immunology Work on extending single cell analysis pipelines to include QC and analysis of TCR-seq, CITE-seq, and LIBRA-seq data types; Work on benchmarking the best methods for integration of single cell RNA-seq datasets from different sources; Work with the IT teams to establish and maintain an automated workflow for data acquisition and processing in a cloud-based environment; Develop analytics pipelines for different types of high-dimensional data, including but not limited to data from next generation sequencing, flow cytometry, mass spectrometry, ELISA, Luminex, or imaging Currently enrolled in an advanced degree program in computational biology, bioinformatics, statistics, computer science, or bioengineering; Currently enrolled or recently graduating from a PhD program is a plus; Good coding experience in Python is required, experience with R also beneficial; Experience in cloud-based computing environment and data science development platforms, such as GitLab, Jupyter, R shiny, Anaconda, and Docker container, is needed
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