• You love to write code (R and Python preferred) and analyze data
  • You enjoy collaborating with other scientists and engineers, and are excited to work on a cross-functional team
  • You have excellent communication and presentation skills
  • You have a PhD in Computational Biology, Bioinformatics, Cancer Genomics, Immunology, or similar field.
  • You have experience working with single-cell RNA-seq and TCR-seq data, and are able to demonstrate proficiency with authorship on publications or code packages.  You are fluent with single-cell data analysis packages such as Seurat and Monocle, and have a strong understanding of the underlying methods and data structures (e.g., dimensionality reduction by t-SNE/UMAP, clustering, QC, etc.).
  • You understand and can explain the basic statistical principles and best practices for large-scale, high-dimensional data analysis.
  • You are fluent with the programming languages R and Python.  Experience developing code packages or web apps is a plus.
  • You are fluent with modern Linux, HPC, and cloud environments; R/RStudio or Python/pandas for data analysis, visualization, and statistics; and source control tools such as GitHub/Bitbucket.

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