Role: Bioinformatics for Computational Sciences Immunology Duration: 12months Location: Remote Rate: $50-$60/hr on W2 We seek a self-motivated, independent, and creative scientist to support computational research within our Computational Sciences Immunology team. We have a team of skilled bioinformatics researchers working in a highly collaborative environment with both biomarker and experimental biologists. This role will focus on analyzing sequencing data from pre-clinical studies and publicly available datasets to look for mechanisms of action and potential biomarkers. Duties Compile and analyze internal and publicly available single-cell RNA-seq and TCR-seq datasets. This includes handling large datasets and understanding integration methods. Perform comprehensive analysis of various NGS data sets including bulk RNA-seq, single-cell RNA-seq and single-cell TCR-seq. Act as an analyst on an NGS project, going from data exploration and normalization, differential gene expression, pathway analysis, to producing compelling data visualizations and presentations to colleagues. Complement existing code to generate specific plots and subsequent analysis Skills A recent PhD graduate in Bioinformatics, Genomics, or Computational Biology. Strong statistical analysis and computational skills, including basic proficiency using Linux-based servers and high level of proficiency with the R programming language and packages such as ggplot2. Relevant experience for dealing with large datasets: batch effect detection and normalization, and confounding and covariate adjustment. Experience organizing and documenting code. Strong communication skills including presenting and interpreting biology focused results especially focused on immunology. Experience with immunology and/or oncology is a plus, but not essential.