The Ding Lab develops and uses computational tools and experimental techniques to study cancer. The team is interdisciplinary and multifaceted, drawing on a wide-array of training and experiences to guide research and provide information to clinicians and fellow cancer researchers.

We are an interdisciplinary team combining experimental biology and computational analyses to advance precision medicine. We attack important and challenging problems by integrating data from human specimens, cell lines, organoids, patient-derived xenograft models, and murine genetic models into a comprehensive experimental and analytical framework. Our lab collaborates extensively with other Washington University basic/translational scientists and computational biologists. We are also heavily involved in multiple large-scale NIH consortia, including HTAN, PDXNet, SenNet, PECGS, GDAN, CPTAC, and GUDMAP, where we use multi-omics (including single cell and spatial omics) and advanced imaging technologies (including CODEX and 3D imaging) to study disease etiology and treatment, as well as building reference databases and atlases for the research community. The research environment is highly collaborative, intellectually stimulating, and enjoyable

We are looking for a highly motivated individual to perform experiments in research projects, develop computational tools, and/or conduct integrated data analysis to address questions that are both fundamental in biology and highly relevant in the clinic.

Positions include:

  • Staff Scientist

  • Research Technician

  • Research Assistant

  • Bioinformatician

  • Postdocs

  • Graduate student

  • Undergraduate student

Please inquire with Dr. Li Ding at lding@wustl.edu