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, with the goal of improving the health of all Virginians. The candidate will contribute to implementing research initiatives that apply big-data analytics, data science, and community-engaged methods
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. • The successful candidate will work efficiently to master the scientific field, contribute positively to the scientific culture of the laboratory, and present their own data and analysis in formal and informal
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EXPERIENCE in: Scientific/Academic writing Research methodology (Quant or Mixed Methods) Experience with statistical software (e.g., R, Mplus, SPSS, etc.) Credentials must be obtained prior to the start date
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Responsibilities will include developing next-generation genome engineering technologies for gene and cell therapy applications as well as functional genomics. In particular, you will focus on delivery methods