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Columbia University is inviting applications for a Postdoctoral Associate position in the Department of Biostatistics, Mailman School of Public Health.
The role focuses on developing new statistical, computational and deep learning methods for analyzing electronic health records (EHR) data and various omics data, with the goal of predicting patient outcomes and understanding disease subtypes and associations.
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We are inviting applicants to a postdoctoral associate position emphasizing the development of new statistical, computational and deep learning methods for analyzing electronic health records (EHR) data, multiple types of omics data including genomics, epigenetics, and exposomics data. More specifically, our work focuses on the new statistical and computational approaches using EHR data and high-dimensional omics data to develop patient prediction tools and to identify disease subtypes and disease associations.
The candidate should have a doctoral degree in statistics, biostatistics, computer science, informatics or other related fields. Candidates with strong quantitative research background and experience working with large scale data are desirable. Strong computational and communication skills are essential.
With benefits associated with Officers of Research as outlined in Columbia University’s Benefits in Brief http://www.hr.columbia.edu/hr/benefits/page-section.html.
Please submit a brief statement of interest, CV, contact information for 3 references to Shuang Wang sw2206@columbia.edu.