What are the responsibilities and job description for the Bioinformatics Analyst III position at Katalyst CRO?
Responsibilities
upstream processing of 'omics data (QC, normalization, exploratory data analysis).
downstream interrogation of bulk, single-cell, and/or spatial transcriptomic data (e.g., differential gene expression analysis, gene set enrichment analysis, cell type annotation, cell trajectory analysis, cell-cell communication analysis).
Additional responsibilities may include analysis of proteomics or other data modalities depending upon project needs.
Applicants should be familiar with high-performance computing systems, shell scripting in a Linux environment, and have strong facility with R and/or Python, including relevant bioinformatics packages (e.g., Seurat, edger/lima).
Those with experience integrating multi-modal data (e.g., scRNAseq scATACseq, spatial RNAseq spatial proteomics) are especially encouraged to apply.
Requirements
PhD in Bioinformatics, Genetics, Molecular and Cellular Biology, or related field or MS with at least 6 years of experience.
single-cell and/or spatial transcriptome QC and analysis (e.g., with Seurat or Scanpy).
bulk RNAseq data processing and analysis.
facility with R and/or Python for data exploration and statistical analysis.
experience with high-performance computing (HPC) and job submission systems.
upstream processing of 'omics data (QC, normalization, exploratory data analysis).
downstream interrogation of bulk, single-cell, and/or spatial transcriptomic data (e.g., differential gene expression analysis, gene set enrichment analysis, cell type annotation, cell trajectory analysis, cell-cell communication analysis).
Additional responsibilities may include analysis of proteomics or other data modalities depending upon project needs.
Applicants should be familiar with high-performance computing systems, shell scripting in a Linux environment, and have strong facility with R and/or Python, including relevant bioinformatics packages (e.g., Seurat, edger/lima).
Those with experience integrating multi-modal data (e.g., scRNAseq scATACseq, spatial RNAseq spatial proteomics) are especially encouraged to apply.
Requirements
PhD in Bioinformatics, Genetics, Molecular and Cellular Biology, or related field or MS with at least 6 years of experience.
single-cell and/or spatial transcriptome QC and analysis (e.g., with Seurat or Scanpy).
bulk RNAseq data processing and analysis.
facility with R and/or Python for data exploration and statistical analysis.
experience with high-performance computing (HPC) and job submission systems.
