Job Description

• Bioinformatics Analyst for Computational Sciences Immunology
• 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 drug discovery scientists.
• This role will focus on analyzing sequencing data from pre-clinical studies to look for mechanisms of action and potential biomarkers.

• Perform comprehensive analysis of various NGS data sets including bulk RNA-seq and single-cell genomic studies.
• 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 from existing project data or perform one-off analyses of individual studies.

• 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.
• A recent PhD graduate in bioinformatics, genomics, or computational biology.
• Experience with analysis of single-cell RNA sequencing data is a plus but not essential

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