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Postdoctoral Research Fellow
Company Information
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/machine learning methods and algorithms, with applications to clinical evidence generation using real-world data, drug repositioning, learning health system, and large language models motivated applications.
Examples of areas of particular interest include (but are not limited to): (1) Federated/transfer learning algorithms and inference; (2) Counterfactual analyses; (3) Machine learning algorithms for predictive modeling using multi-site data; (4) Clinical evidence generation using synthetic data.
Dr. Yong Chen’s research website: https://penncil.med.upenn.edu/
https://penncil.med.upenn.edu/about-pi/
Doctoral degree in Statistics, Biostatistics, 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.