Computational Bioinformatics Analyst

Job Description: • Provides support in computational analysis of or the logical and technical processes necessary for building analyses of phenome, metabolome, glycome, lipidome, infamome, transcriptome, epigenome, and genome, as well as the integration of such with electronic medical record platforms. • Establishes data analysis plans for each project, project tracking, outcome monitoring, statistical validation and analysis. • Writes standard operating procedures (SOPs) for clinical test and writes out valid documentation. • Develops computational services, takes genetic test results and runs quality analysis, then generates report to reporting platform to be reviewed and sign off by at the lab. • Critically evaluate existing bioinformatics tools and statistical learning methods to best gain insights from experimental and production data, developing new methods as necessary. Requirements: • Master’s in Bioinformatics, Biostatistics or Biomedical engineering or a Ph.D. in a related math or science field is required. • Experience in bioinformatics or closely related field is required including demonstrated experience in next generation sequence analysis. • Experience with electronic medical record (EMR) APIs and interfaces and movement of data out of and into EMRs is desirable. • Experience in programming Python, Perl, R, Ruby and Java is desirable. • Proven track record in analyzing, interpreting, and modeling biological data, including next-generation sequencing data, using scripting languages and statistics software packages for data manipulation, analysis, and visualization. Benefits: • Development and advancement opportunities