Applications are invited for postdoctoral fellow positions in statistical genetics, machine learning,  and predictive modeling to join Dr. Summer Han’s research group in the Stanford Center for Biomedical Informatics Research at Stanford University. This position emphasizes developing and applying statistical methods for analyzing genomic data (e.g., single-cell RNA-seq data, spatial transcriptomic data), for building machine-learning based prediction models for various cancers or neurodegenerative diseases using time-to-event outcomes or for novel natural language processing (NLP) to analyze imaging or free-text data generated from electronic health records (EHRs). Specific areas of interest include but are not limited to: (1) single-cell RNA seq data analysis, (2) spatial transcriptomic data, (3) whole-genomic sequencing data analysis, (4) dynamic risk prediction modeling for survival/competing risks data, (5) causal inference methods to analyze large observational data, and (6) NLP and AI methods to analyze EHR data.