Computational Biologist

We are seeking a highly motivated Computational Biologist to work on the analysis and interpretation of high-throughput genomic and clinical data, to investigate immune cell crosstalk within the tumor microenvironment. This individual will be affiliated primarily with a computational cancer immunology group focused on both clinical and pre-clinical research.


A successful computational biologist will be expected to:

  • Work closely with colleagues across departments specializing in functional genomics, cancer immunology, and in vitro and in vivo models.
  • This role will focus on single-cell analyses of both new internal and published data to generate mechanistic hypotheses to motivate drug development programs.



  • Masters or Ph.D. in a relevant field (such as computational biology, systems biology, bioinformatics, genomics, statistics, computer science, cancer biology, etc.). Work experience in a quantitative biosciences position is preferred.
  • Experience with single-cell RNA-seq data analyses, including differential expression, identifying batch effects, and data integration.
  • Critical thinking abilities and scientific rigor are more important than specific tools or languages.
  • Interest and ability to engage critically with cancer immunology literature
  • Ability to communicate scientifically to colleagues with varying levels of computational and immunology expertise
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