Perform data analysis to investigate correlations between phenotype and genotype; construct knowledge graphs to identify pathways and drug targets; analyze single-nuclei RNA-seq and Sanger-seq data to explore heterogeneities in beta cells in aging-related type 2 diabetes; develop SNP-based pipelines for demultiplexing single-nuclei RNA-Seq using natural DNA sequence variants; develop software applications to meet project needs; work with researchers to analyze problems and develop new solutions; use Python, Bash Script, R, Variant Caller, and Demultiplexing.
Requirements:
Master's degree in Computer Science or Bioinformatics with 6 months of experience in job offered or as Bioinformatician.
Application Instructions:
Fax resume to Buck Institute for Research on Aging at 415-899-1802.
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