We are seeking candidates for a postdoctoral fellowship in the Reznik lab at Memorial Sloan Kettering Cancer Center (MSKCC) to study tumor metabolism through computational analysis of metabolomic and genetic data. An energetic and creative scientist with a background in computational models of metabolism, genomics, or machine learning is sought to lead new studies of metabolic interactions in the tumor microenvironment, tumor evolution, and therapeutic resistance. The fellow will join a diverse group of quantitative geneticists, genomicists, and machine learners embedded in the Computational Oncology Service, a new initiative dedicated to translational, data-driven cancer science and tightly integrated with the work of MSK’s clinicians. Applicants must possess a PhD in a quantitative discipline, including but not limited to computational biology, computer science, machine learning, or applied mathematics. A background in metabolomics or cancer genomics is an asset but not required.