Builds data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and identifies and implements appropriate visualization; Works with lab personnel to implement automated processing solutions for repeated manual tasks; Develops workflows, and databases for analyzing and manipulating proteomics data; Collaborates with research personnel to download, organize and integrate various types of experimental and public data into databases; Collaborates with laboratory and computational personnel to leverage data to explore trends in cellular responses to perturbations
Requirements:
Master’s degree in Bioinformatics, Computer Sciences or related field is preferred; Desire to work in a fast-paced, multidisciplinary research environment; Knowledge of UNIX/Linux. Familiarity with scripting in Python and statistical programming using R; Familiarity with principles of experimental design and the modern data analysis paradigms is required
Text:
Associate Computational Biologist Builds data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and identifies and implements appropriate visualization; Works with lab personnel to implement automated processing solutions for repeated manual tasks; Develops workflows, and databases for analyzing and manipulating proteomics data; Collaborates with research personnel to download, organize and integrate various types of experimental and public data into databases; Collaborates with laboratory and computational personnel to leverage data to explore trends in cellular responses to perturbations Master’s degree in Bioinformatics, Computer Sciences or related field is preferred; Desire to work in a fast-paced, multidisciplinary research environment; Knowledge of UNIX/Linux. Familiarity with scripting in Python and statistical programming using R; Familiarity with principles of experimental design and the modern data analysis paradigms is required
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