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Position: Senior Associate Scientist, Bioinformatics
Institution: Pfizer Inc.
Location: United States
Duties: Develop and manage automated next generation sequencing (NGS) pipelines to support pathogen or host genome sequencing projects; Implement various open source bioinformatic pipelines and interpret analytical results to support mRNA vaccines’ preclinical and clinical programs; Experience and knowledge about bulk RNAseq, single cell RNAseq, TCR profiling, and BCR profiling; Develop novel algorithms and workflow for the analysis of vast amount data spanning different data types and provides scientific insights to guide vaccine design
Requirements: Degree in computer science, bioinformatics, data science, computational biology or related field is required; Bachelor’s degree with 3~5 years of experience or master’s degree with additional 1-3 years of related experience is preferred. This is NOT a PhD position; Extensive experience in analyzing multi-omics next generation sequencing data (e.g., genetics, bulk RNA-seq, single-cell RNA-seq, spatial omics, proteomics, etc.) for biomedical research
   
Text: Senior Associate Scientist, Bioinformatics Develop and manage automated next generation sequencing (NGS) pipelines to support pathogen or host genome sequencing projects; Implement various open source bioinformatic pipelines and interpret analytical results to support mRNA vaccines’ preclinical and clinical programs; Experience and knowledge about bulk RNAseq, single cell RNAseq, TCR profiling, and BCR profiling; Develop novel algorithms and workflow for the analysis of vast amount data spanning different data types and provides scientific insights to guide vaccine design Degree in computer science, bioinformatics, data science, computational biology or related field is required; Bachelor’s degree with 3~5 years of experience or master’s degree with additional 1-3 years of related experience is preferred. This is NOT a PhD position; Extensive experience in analyzing multi-omics next generation sequencing data (e.g., genetics, bulk RNA-seq, single-cell RNA-seq, spatial omics, proteomics, etc.) for biomedical research
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