A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center.
We are seeking a highly self-motivated postdoctoral candidate with experience in cancer research and strong analytical skills in single-cell RNA-seq data. Statistical modeling expertise in machine learning and/or Bayesian models is preferred. This position will involve both methodology development and analysis of multi-omic sequencing data, including spatial transcriptomic data, from cancer patient cohorts and interpretation. The candidate will work closely with our experienced clinician collaborators at MD Anderson, contributing to revealing the underlying mechanism behind the response heterogeneity of cancer and developing novel therapeutic targets.
*LEARNING OBJECTIVES*
• Analyze next-generation sequencing (NGS) data, including:
• Bulk DNA-seq and RNA-seq
• Single-cell RNA-...