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data, working with three different working groups, contributing to scientific publications, and supporting policy tools and analyses. KEY RESPONSIBILITIES: Prepare statistical analysis plans and conduct
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epidemiology, women’s health, and/or HIV epidemiology Expertise in data management and analysis using SAS, Stata, or R Expertise in longitudinal data analysis; experience with metabolomics or other ‘omics data
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MD/PhD with a strong background in virology or other areas relevant to our research. List of preferred technical skills (not all necessary): Bioinformatics analysis (RNA-Seq analysis) Cell culture
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the research. Potential topics include causal effect estimation, mediation analysis, longitudinal or observational data structures, policy learning, and methods for informative censoring and missing data
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, and the CDC Insight Network. POSITION QUALIFICATIONS REQUIRED: PhD (or equivalent) in Biostatistics, Epidemiology, or a closely related field. Strong applied data analysis and quantitative modeling
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-cultural research that bridges research and practice to support parenting and improve ECD globally. KEY RESPONSIBILITIES: Prepare statistical analysis plans and conduct advanced quantitative analyses
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is ideal for someone with a background in some combination of behavior/learning theory approaches to anxiety, computational modeling of behavior, and fMRI analysis; and who wishes to gain or deepen
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with mammalian cell culture, molecular cloning, or transcriptomic analysis is desirable Excellent communication skills and a strong publication record This is a full-time, temporary training position
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analysis is highly desired, but not required. Candidates should be fluent in spoken and written English and should be able to communicate their ideas well. The ability to integrate into a team is as
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work (rodent models), perform and analyze behavioral assessments including measures of pain-associated behaviors, assist with experimental design, data collection and analysis, and contribute