Postdoc Fellow, Bioinformatics &Cancer Data Sciences at NCI, NIH
Postdoctoral researcher positions in Bioinformatics and Cancer Data Sciences 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 understand the process of cancer immune evasion and therapy resistance through large-scale data integration and spatial genomics approaches. The 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, Dr. Jiang will spend a significant amount of effort on the candidates to ensure postdoc training success. Meanwhile, the NIH Bethesda campus, located in 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 and the abundant data resource generated by many national-scale projects.
NIH appointed Dr. Jiang as the Earl Stadtman Tenure-Track Investigator, a prestigious startup program at NIH. Dr. Jiang is a recipient of the K99 Pathway to Independence Award of the NCI and the Scholar-In-Training Award of the American Association of Cancer Research. For more information, please see the website: https://ccr.cancer.gov/cancer-data-science-laboratory/peng-jiang.
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, and imaging analysis will be preferentially considered.
How to Apply:
Please send a cover letter with past research accomplishments and future research interests, a CV with a publication list, and the contact information of three references to: email@example.com
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