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methods) Prior experience working with longitudinal data preferred. Self-motivated to learn new concepts and epidemiological/statistical methods. Ability to self-learn and work independently without
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(renewable, contingent on performance and funding) will work under the mentorship of Dr. Fei Ye on to conduct quantitative research on development and application of statistical/bioinformatic methodology
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training in quantitative sciences Sound knowledge of statistics and R/ Bioconductor Experience with next-generation sequencing (NGS) data analysis Understanding of epigenome biology Solid programming skills
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populations impacted by substance use/substance use disorders, HCV, HIV, and homelessness Proficiency in statistical software (e.g., R, SAS, STATA) and/or qualitative analysis tools (e.g., NVivo, Dedoose
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laboratory records and manage data using sound statistical and bioinformatics tools. Prepare manuscripts for publication and contribute to grant applications. Present research findings at internal seminars and
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accurate documentation and records of data collected in accordance with the guidelines. Analyze, interpret, and synthesize data and results using scientific and statistical methods. Prepare progress reports