We are always interested in recruiting talented undergraduate and graduate students, and postdoctoral fellows to join our group. We also welcome faculty for sabbatical visits. We welcome applications from biostatistics, computational biology, bioinformatics, statisticscomputer science, and applied mathematics graduates. For inquiries, please send an email to mingyao@pennmedicine.upenn.edu.
There are two postdoc positions that are immediately available.
The Statistical Genomics Position emphasizes on statistical and machine learning algorithm development for genomics data analysis. The data types that we are interested (but not limited to) include single-cell RNA-seq, CITE-seq, single-cell ATAC-seq, spatial transcriptomics, spatial metabolomics, digital pathology, and integration of these data. Applicants should have experience in Python and R programming. Experience with software packages for deep learning is preferred.
The Computational Biology Position emphasizes on analysis of single-cell genomic data generated from various human disease studies, including atherosclerosis, cardiometabolic disease associated inflammatory and metabolic traits, age-related macular degeneration, and Alzheimer’s disease. This position emphasizes on understanding the cellular heterogeneity and the underlying molecular mechanisms of one or more of these diseases and traits, and the development of software relevant to these studies.
Applicants should send CV, one representative first/co-first author manuscript, and names of at least two references to mingyao@pennmedicine.upenn.edu.
We also have an opening for Research Analyst that is immediately available.
We are looking for a B.S. or M.S. level analyst with background in Statistics or Computer Science. The Research Analyst will assist with pipeline development for single-cell sequencing data analysis. The analyst will also provide statistical and computational support for various research activities including implementing customized statistical analyses using existing tools with and without modification, programming support for methods and tool development activities, and generating tables and figures for publications. In addition, there will be opportunities for involvement in the development of novel statistical and machine learning methodologies for genomics data analysis specifically related to age-related macular degeneration, cardiometabolic disease, Alzheimer’s disease, kidney disease, and psychiatric disorders. For inquires about this position, please contact mingyao@pennmedicine.upenn.edu.