We are looking for a talented and highly motivated Computational Biologist/Bioinformatics Scientist to support the discovery of novel immune oncology targets and biomarkers. The scientist will:
(1) work closely with biologists and translational oncologists to process and analyze multiple genomics data types from pre-clinical and clinical samples, (2) develop and implement methods for integrating internal and public data sets from oncology and immunology research, (3) be responsible for processing, analyzing, and integrating data from diverse platforms: RNA-seq, WES, FACS, single cell sequencing, T-cell receptor repertoire (TCR) profiling, CYTOF, and/or other high throughput technologies.
Basic Qualifications
• Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related fields with 2+ years of post-degree experience or equivalent or MS with 7+ years' experience.
• Fluency in programming and scripting languages such as (R, Perl, Python, or Java)
• Experience processing and interpreting high-volume genomics data.
• Experience in immune oncology or immunology research.
Preferred Qualifications
• Experience in computational methods for analysis of computational immune oncology data such as RNA-seq, deconvolution, TCR repertoire sequencing, neoantigen prediction, or FACS analysis.
• Experience in integrative omics analysis, next generation sequencing, data mining,
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