POSTDOCTORAL ASSOCIATE

This Position is Fully grant Funded

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.

Postdoctoral Research Fellow

Duties and Responsibility

A Postdoctoral Fellow position in biostatistics and bioinformatics is available at Duke University. The position involves the development of innovative statistical methods and machine learning algorithms that are motivated from massive healthcare data (e.g., electronic health record data).

Areas of particular interest include (but not limited to): (1) privacy preserving federated learning; (2) dynamic risk prediction; (3) data harmonization across various resources; (4) EHR phenotyping with noisy data. The Postdoctoral Fellow will be supervised by Dr. Chuan Hong at Duke University.

Position Qualifications

• Ph.D. in Biostatistics, Statistics, Computer sciences, Data Science, Engineering or a related quantitative field
• Strong quantitative research background, statistical and programming proficiency (R, Python, or C++)
• Excellent communication skills, and good track record of writing scientific papers
• Experience with EHR data, federated learning and natural language processing is preferred

Contact Information 
Chuan Hong

Contact Email chuan.hong@duke.edu

Website: https://scholars.duke.edu/person/chuan.hong

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