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Data Science for Cancer Research and Precision PreventionPosted by: National Institutes of Health (NIH)
Posted date: 2019-Mar-26
The new Data Science Group created at the Division of Cancer Epidemiology and Genetics (DCEG) of the National Cancer Institute in 2019 is opening postdoctoral positions in research projects ranging from distributed Machine Learning to Computational Pathology and Population Science. These are technology and data-intensive intensive projects that explore computational solutions at the consumer-facing intersection of Cloud and Web computing.
Goals: This position will engage the new data landscape being populated by three of the newest cohort studies, the Connect study, the Confluence project and Sherlock-lung (a genomic epidemiologic study of lung cancer in never smokers). For more information about these studies visit dceg.cancer.gov.Qualifications:
A doctoral degree with an emphasis in Bioinformatics, Computational Statistics, Computer Science, Media Science or Data Science. Candidates familiar with neural network based AI, Web and Cloud Technologies or with an interest in exploring AI-first software engineering applications to cancer research and prevention will be favored. These positions welcome both national and non-resident candidates. Additional information about hiring, career advancement and benefits can be found at www.cancer.gov/grants-training/training/at-nci/crta.
For more information about this position, please contact: Jonas Almeida, Ph.D Chief Data Scientist
Email: jonas.dealmeidanih.govTo Apply:
See the Division Fellowship Information for an overview, qualifications, and application details. Go to http://dceg.cancer.gov/ and click on Fellowships & Training.
This position is subject to a background investigation. The NIH is dedicated to building a diverse community in its training and employment programs.