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Postdoctoral Research Fellowship in Clinical NLP - Cincinnati Children's Hospital Medical Center

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The Division of Biomedical Informatics at Cincinnati Children's Hospital Medical Center (CCHMC), Cincinnati, Ohio is recruiting a postdoctoral research fellow in clinical NLP.

Research Focus: Clinical NLP and text mining.

Qualifications: Qualified candidates will have - or will have completed prior to their start -  a PhD in biomedical informatics, bioinformatics, computer science, artificial intelligence, computational linguistics or closely related field.

PhD level research experience and publication record in NLP and Machine Learning is a must. Biomedical NLP experience is desired but not mandatory. Experience with information extraction and clinical document deidentification is a definite plus.

Superior programming skills and strong working knowledge of Java and familiarity with Linux environment for programming are required. Knowledge of Python is preferred.

Starting Date: Position is open with immediate start date.

Appointment: One year term (renewable up to three years). Initial appointment and renewal depends on availability of funding and satisfactory performance of the fellow.

Funding: The fellowship will be funded in part by an NIH K99/R00 Career Development Award to the supervising faculty.

Institutional Environment: The Division of Biomedical Informatics (BMI) at Cincinnati Children's Research Foundation focuses on computational approaches to problems in biomedical research. Our mission is to provide the core competencies, methods and technologies that are necessary for the acquisition, storage and analysis of biomedical data using high performance computational systems. CCHMC has a strong institutional commitment to extend its existing NLP research into additional areas of clinical NLP and biomedical text mining.

CCHMC has over one million patient encounters a year and is the second largest recipient of NIH funding among children hospitals. The Division of Biomedical Informatics manages an i2b2 data warehouse for 500,000+ patients and a state-of-the-art 250+ CPU computing cluster.

The research fellow will join Dr. Solti to build a deidentification pipeline for clinical notes for the i2b2 data warehouse and to develop an automated NLP-based eligibility screening application for clinical trials per the aims of the R00 NIH grant ( ). In addition to the applied NLP research, the fellow will work on relevant basic science problems within the area of biomedical NLP. All our projects involve theory and applied research and our aim is to advance both. The fellow is expected to develop a collaborative relationship with other faculty members, fellows and programmers of the Division of Biomedical Informatics and other divisions of CCHMC (i.e.: Health Policy and Clinical Effectiveness).

Interested candidates should email:
1.    Curriculum Vitae
2.    Research Statement (1 page): Past and present research accomplishments and interests, the directions that you want to develop your research, and where are your strengths
3.    Letter of Motivation (1 page): What are your goals with the postdoctoral fellowship, what do you want to do next and long-term career goals
4.    List of at least three references

all above documents in PDF format to Imre Solti, MD, PhD at

by redaktionen last modified 2010-09-10 08:28

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