Postdoctoral Research Associate

Position Summary The Zikry Lab at UNC-Chapel Hill is seeking a highly motivated Postdoctoral Research Fellow to join our group at the intersection of statistical methodology, machine learning, and biomedical data science. The research develops rigorous and interpretable methods for high-dimensional biomedical data, with applications spanning cancer genomics, neuroscience, and precision medicine. The postdoctoral fellow will join a collaborative, interdisciplinary environment within the School of Data and Information Sciences, with opportunities to work with researchers across the UNC scientific community in units such as the Computational Medicine Program and the Lineberger Comprehensive Cancer Center. Role & Responsibilities The postdoctoral fellow will play a central role in advancing new statistical and machine learning methodology. Areas of focus include: Clustering and unsupervised learning Dimension reduction and manifold learning High-dimensional inference and feature selection Generative modeling and digital twins Reliability and interpretability of machine learning methods The postdoctoral researcher will be responsible for teaching at most one class per semester (an existing 100-level data science course with lecture and evaluation material provided). Based on teaching needs, this may be changed to one class per academic year. Education & Experience Requirements Ph.D. (or foreign equivalent) in statistics, mathematics, biostatistics, bioinformatics, computational biology, or a related field of study. Preferred Qualifications Experience in statistical modeling and biomedical data analysis is a plus. Evidence of research productivity (publications, presentations, software) is preferred. #J-18808-Ljbffr Inside Higher Ed