Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the diversity and excellence of our academic community.
The candidate will be expected to work on statistical/computational method & tool development for studying genomics data of complex diseases, statistical data analysis, and publishing on decent journals. The candidate will have opportunities to collaborate with members of the Center for Computational and Quantitative Genetics (http://ccqg.emory.edu/about/index.html), as well as people from diverse departments (e.g., Human Genetics, Neurology, Biostatistics and Bioinformatics, Psychology) at Emory University.
The candidate is expected to have a Ph.D. degree in Statistics/Biostatistics, Bioinformatics, Computer Science or other relevant disciplines, with interests in Statistical Genetics and strong quantitative research background; proficiency in one or multiple of the popular programming languages, e.g., R, Python, C++, Perl; experience working with large genomics data, next-generation sequence data, and high-performance clusters with Linux environment are desirable.
The Yang Lab (https://yanglab-emory.github.io/) is located in the Center for Computational and Quantitative Genetics, Department of Human Genetics (http://genetics.emory.edu/index.html), Emory University School of Medicine. We mainly focus on development and application of statistical methods (e.g., Bayesian methods, Machine Learning and Deep Learning methods) for integrative analysis with multi-omics data (genetic, epigenetic, transcriptomic, and proteomic data), with the goal of understanding the underlying genomic architecture of complex traits and diseases.
Additional Requirements: Cover Letter, CV, Brief Statement of Research & Interest (less than 2 pages), one Sample Publication and Contacts for 3 references.
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