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epidemiology. Experience analyzing large cohort, registry, biobank, or omics datasets. Strong programming skills in R, SAS, Stata, or Python. Familiarity with survival analysis, longitudinal data analysis
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-based analysis of research data as a meta-domain and discovery of relevant datasets through both graph search and guided browsing through relationships. Along with Yale managed datasets, these will also
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data interpretation and analysis. Reports on the status of research activities Recruits study participants and ensures that subject recruitment and follow-up are completed per protocol procedures Orders
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. Other projects may be added to the portfolio in the future. Key responsibilities: Support with project coordination including overseeing research design, data collection and analysis, leading meetings and
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validating EI measures and studying mechanisms of behavior change at scale. The postdoctoral associate’s primary responsibilities will include data preparation and management, advanced statistical analysis
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construction, data harmonization, statistical analysis, and reporting. Mentoring and professional development The postdoctoral associate will participate in regular one-to-one meetings with the PI, weekly
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, design and analysis of virus-derived RNA libraries, and development of machine learning models for detecting functional elements in viral metagenomic datasets. This project is a collaboration with the
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biology methods, dry-lab bioinformatic analysis, and a translational approach using clinical samples, including blood and tissue samples from people with HIV. This postdoctoral researcher may also be
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mammalian riboswitches and defining their biological functions. Research activities may include: Genetic manipulation of mammalian cell lines using CRISPR-based approaches Construction and analysis
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to the team’s research, including being involved in the analysis and dissemination data and mentoring other trainees in the lab on related projects. The position provides ample opportunities for publication and