"Multi-omics analysis of metabolic reprogramming in cancer resistance" The Krumsiek lab at Weill Cornell Medicine is looking for a full-time staff associate or postdoctoral researcher. The project will focus on the development of novel computational methods for the identification and targeting of metabolic cancer drug escape mechanisms based on multi-omics data from cell line models, patient-derived tumor organoids and primary patient samples. The research work will involve algorithm development, data analysis, network modeling, as well as the planning and design of experimental validation strategies. The successful candidate is expected to manage several projects simultaneously, independently communicate and interact with collaboration partners, supervise students, and apply for extramural funding. Applicants must have at least 4 years of relevant experience in one or more of the following areas: omics data analysis, algorithm development for biological data, or computational drug research. Moreover, the position requires proficiency in at least one statistical programming language, such as R or Python. Our lab is embedded in the highly translational and interdisciplinary Englander Institute of Precision Medicine, which brings together computational biologists and clinicians in a strongly collaborative environment. To apply, send your cover letter and CV to krumsieklab+cancerdrugs[at]gmail[dot]com Job Type: Full-time Pay: $55,000.00 - $65,000.00 per year Schedule: Monday to Friday Education: Doctorate (Required) Experience: Omics analysis: 4 years (Required) Coding: 4 years (Required) Work Location: Hybrid remote in New York, NY 10021