Bioinformatics Analyst

Bioinformatics Analyst for Computational Sciences Immunology (Contract) 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. Position Details This will be a full-time contract position for an initial period of 1 year, with the possibility of extension. This position can be on-site in South San Francisco, CA, or remote (Continental US or Canada only) during normal Pacific timezone business hours. Duties 1. Compile and analyze internal and publicly available single-cell RNA-seq and TCR-seq datasets. This includes handling large datasets and understanding integration methods. 2. Perform comprehensive analysis of various NGS data sets including bulk RNA-seq, single-cell RNA-seq and single-cell TCR-seq. 3. 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. 4. Complement existing code to generate specific plots and subsequent analysis from existing project data, or perform one-off analyses of individual studies. Skills 1. A recent PhD graduate in Bioinformatics, Genomics, or Computational Biology. 2. 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. 3. Relevant experience for dealing with large datasets: batch effect detection and normalization, and confounding and covariate adjustment. 4. Experience organizing and documenting code. 5. Strong communication skills including presenting and interpreting biology focused results especially focused on immunology. 6. Experience with immunology and/or oncology is a plus, but not essential.