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