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Postdoctoral Research Fellow
The University of Pennsylvania is a prestigious institution with the inclusive policies, innovative work, and impactful engagement of our faculty, students, and staff. The Perelman School of Medicine ranked 3rd among the best medical schools in the United States in 2016. The Department of Biostatistics, Epidemiology and Informatics at Perelman School of Medicine has excellent program in education and research.
We are recruiting postdoctoral research fellows for development of statistical and computational methods for big data in healthcare systems, with applications to disease prevention and evidence-based medicine, and a special focus on pediatric research. The fellow is expected to develop novel methods in areas such as data/evidence integration, missing data, measurement errors, dynamic risk prediction, and statistical learning that are motivated from massive healthcare data (e.g., electronic health record data, claims data). The fellow will join the research group of Dr. Yong Chen.
Examples of areas of particular interest include (but are not limited to): (1) Data integration; (2) Dynamic risk prediction; (3) Methods to account for information bias and/or missing data in electronic health record data; (4) Evidence synthesis using large healthcare data to inform clinical decision-making.
Dr. Yong Chen’s research website: https://penncil.med.upenn.edu/
Doctoral degree in Biostatistics, Statistics, Computer Science, Epidemiology, Data Science, Engineering, or a related quantitative field.
Strong theoretical training in statistics and computing (R and Python) are desired.
Excellent communication skills and good track record of writing scientific papers.
Experience in statistical theory and methods development, machine learning, and comparative effectiveness research is preferred.
The position is available immediately and for up to three years.