DESCRIPTION

Postdoctoral positions of Bioinformatics and Cancer Data Science are available in the laboratory of Peng Jiang at the National Cancer Institute (NCI), National Institutes of Health (NIH). The overarching goal of Jiang Lab is to under the process of cancer immune evasion and therapy resistance through computational and data-driven approaches. Candidate will develop statistical and machine learning solutions to advance our ability to treat cancer patients.

The Jiang Lab is part of the NCI Cancer Data Science Laboratory, a new initiative dedicated to translational omics research and tightly integrated with massive national projects at NCI. As the principal investigator initiating a new team, Dr. Jiang will spend a significant amount of efforts on the candidates to make sure the success of postdoc training. Meanwhile, the NIH Bethesda campus, located at the suburb of Washington DC, is the world's largest medical research facility. Candidates will significantly benefit from the team mentorship of many world-class cancer biologists and clinicians, as well as the abundant data resource generated by many national scale projects at NCI, NIH. For more information about the scientific background of Dr. Jiang, please see the old website (https://scholar.harvard.edu/pengjiang). The new NCI website will be ready at a later time point.

REQUIREMENTS

Experience Required:
Applicants should have a Ph.D. in computational sciences with high proficiency in bioinformatics, statistics, and machine learning. Candidates with a background in cancer genomics, immunology research, and imaging analysis will be preferentially considered.

DESCRIPTION

REQUIREMENTS

HOW TO APPLY