A Postdoctoral Fellow position on Biomedical Data Science is available at University of Pennsylvania and the Children's Hospital of Philadelphia. The successful candidate will be dedicated and motivated, have creative thinking skills and be a driver of her/his research. This is an exciting opportunity to work with a group of experts on mathematics, computer science, genomics and biomedical informatics to improve algorithms and utilize data science techniques to analyze clinical phenotypes and genotype data. The candidate will be jointly supervised by Dr Herman Gluck at the School of Arts and Sciences and Dr. Kai Wang at the Perelman School of Medicine. The candidate may be part of the Data Driven Discovery Initiative (DDDI) postdoctoral fellow program (web.sas.upenn.edu/data-science/dddpostdocfac/), and participate in broad cross-campus activities of DDDI, including seminars, lunch-time faculty talks and discussions, and interactions with students and postdocs across SAS. The research outcome can help improve our understanding of the genetic basis of human diseases and facilitate predictive analytics and treatment decision making. Domain knowledge in biomedical research or biomedical informatics is preferred but not required.
• PhD in Computer Science, Statistics, Mathematics, Bioinformatics, Biomedical Informatics, or a related discipline.
• Good understanding of deep learning algorithms, strong programming skills, and demonstrated data science experience such as scientific preprints.
• Strong and genuine interests in biomedical data science.
• Prior research experience on biomedical data analysis is desirable.
• Excellent academic grades and very good communication skills in written and spoken English.
For inquiries or to apply, please email your CV and a short introduction about yourself, your past research experience and your future research interests to: kaichop@gmail.com