Applications are invited for a postdoctoral position in the laboratory of Prof. Ekta Khurana at Weill Cornell Medical College in New York City. The successful candidate will lead innovative projects focused on data analysis to understand treatment resistance in cancer, with a particular emphasis on prostate and breast cancer. The research will involve the use and development of machine learning algorithms for the analysis of genome sequencing and digital pathology data, as well as opportunities to explore the evolution of various cancer types.

The Khurana Lab (khuranalab.med.cornell.edu) offers a collaborative environment, working closely with computational biologists, cancer biologists, oncologists, and pathologists. The lab's research integrates computational biology, cancer genomics, and advanced data analysis techniques, including single-cell and spatial transcriptomics. Candidates will have the chance to contribute to high-impact research at the intersection of biology, computer science, and medical science.

Applicants should hold a Ph.D. in computational biology, computer science, genomics, cancer biology, or a related field. Essential qualifications include a strong computational background, proficiency in at least one programming language, and knowledge of statistics. Experience with single-cell and spatial transcriptomics data analysis is considered an advantage.

While specific funding details are not provided, the position is a standard postdoctoral research role at Weill Cornell Medicine, which typically includes salary and benefits according to institutional guidelines. The lab is located in New York City, offering access to a vibrant scientific and clinical community.

To apply, interested candidates should send a cover letter, CV, and names of three references to Prof. Ekta Khurana at [email protected], with 'Postdoc-Application-2026' in the subject line. For more information about the lab, visit khuranalab.med.cornell.edu.