A Postdoctoral Research Fellow position is available immediately in the Heinz College of Information Systems and Public Policy, Carnegie Mellon University (CMU), Pittsburgh, PA. The candidate must have a Ph.D. in operations research, statistics, biostatistics, or machine learning, with solid statistical training and good computer programming skills to develop and apply advanced analytical methods related to healthcare information technology and decision making. Particular areas of potential focus are longitudinal modeling, causal analysis with observational data, and optimization and machine learning methods for disease and cost progression modeling. Hands-on experience in working with large longitudinal data sets will be particularly relevant. Excellent written and oral communication skills are required. The postdoctoral fellow will be supervised by Dr. Rema Padman in addition to interaction with faculty at Heinz College and other CMU departments as appropriate. This is a 2-year position, appointed annually with successful review.
Ph.D. in operations research, statistics, biostatistics, or machine learning, with solid statistical training and good computer programming skills
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Internal Number: 77836
About Carnegie Mellon University
Carnegie Mellon (www.cmu.edu) is a private, internationally ranked research university with programs in areas ranging from science, technology and business, to public policy, the humanities and the arts. More than 12,000 students in the university’s seven schools and colleges benefit from a small student-to-faculty ratio and an education characterized by its focus on creating and implementing solutions for real problems, interdisciplinary collaboration and innovation. A global university, Carnegie Mellon’s main campus in the United States is in Pittsburgh, Pa. It has campuses in California’s Silicon Valley and Qatar, and programs in Africa, Asia, Australia, Europe and Mexico.