Lead and support analyses of multiple omics data, using advanced statistical and bioinformatic methods in an HPC and cloud-based environment. Apply existing methods from the field and/or develop new methods for analyzing various omic data types. Assist with designing and managing new and ongoing data collection activities. Collaborate with international teams of leaders in substance use disorders and HIV. Publish findings in peer-reviewed journals in lead and support authorship roles. Present findings at professional society and other scientific conferences. Assist with submission of grant proposals
Completed Ph.D. (or by December 2018) in Genetics/Genomics, Biostatistics/Statistical Genetics, Bioinformatics/Computational Biology, Applied Mathematics, Computer Science, or related discipline. Demonstrated background in substance use disorders, HIV, or related health consequences is preferred. An interest in these topic areas is necessary. Strong quantitative skills with omics data and concrete knowledge of statistical methods is required. Experience with an HPC environment and computer programming skills in R or Python is required. Strong oral and written communication skills are required. Ability to manage multiple project tasks simultaneously is required
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