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$87,900.00/yr - $126,900.00/yr
PEDS-CRITICAL CARE
Full Time
Job Summary
The Bodansky and DeRisi laboratories at the University of California at San Francisco are seeking a Research Data Analyst with recognized expertise in the analysis and interpretation of highly complex multidimensional data sets to lead the analytic support for numerous projects of broad scope and complexity in order to support the combined research enterprises of the Bodansky and DeRisi Laboratories.
The DeRisi Lab at UCSF is known for combining genomics, bioinformatics, and innovative technology development to investigate infectious diseases, autoimmunity, and unexplained illnesses. They pioneered approaches like microarrays, next-gen sequencing for pathogen discovery, and high-throughput proteome-wide protein display technologies, leading to the discovery of novel viruses and autoantibodies, and improving diagnostics for global health and clinical medicine.
The Bodansky Lab at UCSF is dedicated to solving a broad range of currently poorly understood and devastating pediatric diseases.
Together, they are deeply interested in understanding the role of autoantibodies in health and disease. This builds upon their recent work helping define the autoreactome and applying these discoveries to solve previously enigmatic severe pediatric diseases.
The successful candidate would function with a high degree of autonomy to process high dimensional data, ensure the data meets high standards of quality and reproducibility, and use both existing computational platforms, and create new analytic platforms to both compile and interpret the data. The candidate would be expected to quickly learn, apply, and analyze large scale PhIP-Seq data, including newer iterations of PhIP-Seq for high-resolution epitope mapping. The candidate would also develop systems to design new bespoke PhIP-Seq libraries.
The successful candidate should have significant experience with traditional single cell and bulk transcriptomic analysis, as well as immune receptor repertoire sequencing analysis. It would be expected that the successful candidate would prepare data for scientific publications, and present data at meetings and national scientific conferences. This candidate would serve as an analytical hub for the lab, integrating with the existing laboratory members and computational biologists, serving to train students and postdoctoral fellows in basic computational analysis.
Department Description
The Department of Pediatrics is one of the largest and most complex departments in the School of Medicine. The department is comprised of 19 divisions employing over 400 faculty, 83 fellows, 84 residents, 31 Post Docs and non faculty academics and 170 staff.
Required Qualifications