POSTDOCTORAL ASSOCIATE

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,500 faculty physicians and researchers, more than 1,300 students, and more than 6,000 staff, the Duke University School of Medicine along with the Duke University School of Nursing, Duke University Health System and the Private Diagnostic Clinic (PDC) comprise Duke Health. a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations.

Job description:

The department of Biostatistics and Bioinformatics at Duke University School of Medicine is recruiting a postdoctoral associate in the statistical analysis of high-dimensional data and applications in electronic health records supervised by Dr. Anru Zhang. The primary study areas of this position include, but are not limited to, the following:

Tensor analysis integrating electronic health records data.  

Federated learning and computational phenotyping

The candidate will be responsible for developing new methods, benchmarking their performance, and comparing with competing methods, and applying them to large-scale electronic health records data.  

Candidates must have or expect to have by the position starting time a Ph.D. degree in Statistics, Biostatistics, Computer Science, Mathematics/Applied Mathematics, or a related quantitative discipline. Candidates with experience in high-dimensional statistics, machine learning, or causal inference are preferred. A strong computational background is required. The initial term for the appointment is two years with the possibility of extensions. The successful candidate will join a team of faculty, staff, postdocs, and graduate students collaborating to create new methods for the analysis of high-dimensional biomedical datasets.

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