Tenure-Track Investigator, NLM
Review begins: November 20, 2017
The Lister Hill National Center for Biomedical Communications (LHC), an Intramural Research Program of the National Library of Medicine (NLM), National Institutes of Health (NIH) and the Department of Health and Human Services (DHHS) is recruiting a Tenure-Track Investigator within the Communications Engineering Branch (CEB), in Bethesda, MD. This recruitment is part of consolidating and maintaining its leading role and securing the future of Natural Language Processing (NLP) research at LHC. The position includes an attractive set-up package and operating budget, including access to comprehensive NLM core facilities and provides access to the unique and extensive resources of the NIH. The core facilities refer to databases, Application Programming Interface (APIs) and repositories that NLM provides internally and to the public. The link is: https://wwwcf.nlm.nih.gov/nlm_eresources/eresources/search_database.cfm.
NLP is an area of artificial intelligence that has seen significant growth in recent years. It is currently seen as central to further development of machine learning and industry application problems that involve human computer interaction. The importance of automated understanding of scientific literature, clinical text, and health-related social media communications is also growing, mirroring the explosion of publications in these media and the need to find and connect nuggets of information relevant to specific health-related, clinical and biomedical research issues.
LHC is well known as a leader in the research and development of NLP algorithms in areas ranging from biomedical literature processing to clinical text and consumer language processing. The creation of the position is necessary to establish an outstanding research program to consolidate ongoing efforts, secure LHC’s future leading role in this area, and address the development of new fundamental approaches to automated understanding of scientific literature, clinical text, and consumers’ communications. NLP research is central to supporting the NLM mission of advancing medical and related sciences through the collection, dissemination, and exchange of information: most of this information exists in narrative form and NLP methods are needed to translate this information to machine-readable form, so that it can be efficiently discovered and accessed by the research community, the public, patients, and families.
Eligible candidates must have a Ph.D. or M.D. (or M.D., Ph.D.) or equivalent doctoral degree in the biomedical computational sciences. The tenure track investigator in this position should be an outstanding scientist with a record of high-quality scientific publication records in biomedical natural language processing and machine learning, and a proven record of mentorship abilities. The research directions to be unified and led by the investigator in this position include advancing algorithms for 1) extraction of information from text, such as by LHC tools for identifying biomedical concepts in a wide variety of health-related text genres; 2) improving abstractive summarization of text for better discoverability, such as automated indexing of biomedical literature; 3) research on automatically answering clinical and consumer health questions; and 4) novel methods for linking and accessing multimedia resources, for example, text and images.
Salary is commensurate with research experience and accomplishments, and a full Civil Service package of benefits (including retirement, health, life and long-term care insurance, Thrift Savings Plan participation, etc.) is available. All employees of the Federal Government are subject to the conflict-of-interest statutes and regulations, including the Standards of Ethical Conduct. Additional information regarding the LHC and NLM is available at http://www.lhncbc.nlm.nih.gov. To apply, please send cover letter, curriculum vitae, bibliography, statement of research interest and three letters of recommendation to: Celina Wood, Administrative Officer by email or regular mail.
E-mail address: email@example.com. Postal address: Lister Hill National Center for Biomedical Communications, National Library of Medicine; Attention: Celina Wood, Administrative Officer; Building 38A – Room 7S710 – MSC 3828; 8600 Rockville Pike; Bethesda, MD 20894
Review of applications will begin on or about November 20, 2017, but applications will be accepted until the position is filled. HHS and NIH are equal opportunity employers.