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Postdoc Fellow: Rehabilitation Medicine Department (RMD), Epidemiology and Biostatistics SectionPosted by: National Institutes of Health (NIH)
Posted date: 2018-Oct-09
We are seeking a post-doctoral fellow to engage in a multi-year project using natural language processing or text mining to analyze medical records and programmatic documents for the nation's largest disability programs, Social Security Disability Insurance (DI) and Supplemental Security Income (SSI), administered by the Social Security Administration (SSA). This is an unprecedented opportunity to harness unstructured information from millions of documents, use this information to improve SSA's disability adjudication process, and advance the body of medical knowledge related to disability. Our interdisciplinary program is designed to provide experiences that foster the development of skills necessary to conduct independent research and to cross-train post- doctoral fellows in disciplines that are not traditionally represented in Rehabilitation Medicine such as mathematics, statistics, economics, engineering, or computer science. Our training program is intended for students interested in population-level health services research and disability-related public health issues; however, our fellows are encouraged to become actively engaged in the rich and vibrant NIH research community. This is a fully funded multi-year post-doctoral fellowship.
Research areas: natural language processing, text mining, machine learning
Role: As a postdoctoral fellow, you will conduct research in NLP/Text Mining, develop novel algorithms, implement prototypes, present and publish your work. You will research and identify new technologies, systems or applications of relevance to SSA's and NIH's NLP vision. You will collaborate with a multi- disciplinary team of scientists on a wide range of problems. This position will bring analytical rigor and statistical methods to the challenges of improving the accuracy, efficiency, and timeliness of SSA's disability programs.Qualifications:
For prompt consideration email the documents listed below to Amy Yang, Management Analyst, Epidemiology and Biostatistics Section, National Institutes of Health, Mark O. Hatfield Clinical Research Center, Rehabilitation Medicine Department, Email: amy.yangnih.gov. Please refer to this announcement as the “NIH-RMD SSA NLP post-doctoral fellowship_[LAST NAME]”.
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