Postdoctoral Associate

We are recruiting a Postdoctoral Researcher with a focus on Natural Language Processing (NLP) and Machine Learning (ML). The successful applicant will have a Ph.D. in biomedical informatics, computer science or a related field. Working experience with clinical natural language processing, machine learning (deep learning) are preferred. This position will work under the guidance of and in collaboration with Dr. Yonghui Wu to fulfill the research and service missions of the BMI program. In particular, the incumbent will assist with NLP methods development, clinical data processing, predictive modeling using machine learning methods, NLP package development, scientific paper writing and presenting at national/international conferences. In addition, the incumbent will participate in analysis and reporting projects through data summarization and visualization, and contributions to analysis, modeling and interpretation of results.

•  Develop novel clinical natural language processing methods to extract information from clinical narratives; apply machine learning methods (especially deep learning methods) to solve clinical NLP problems.
•  Implement the NLP methods into a software that meets research needs, manage and update source codes as needed. Work in an interdisciplinary team of informaticists, programmers, information quality experts, statisticians, and researchers during software development.
• Participate in design, implementation, and reporting of research and evaluation studies. Contributions to scientific reports, conference papers and journal articles are expected, including documentation of method, presentation of data, and participation in interpretation of results.
•  Participate in collaborative projects, contribute to the data processing, software development, and other collaborative efforts.

$50,750.00

A Ph.D. in biomedical informatics, computer science or a related field. 

Experiences in natural language processing, machine learning (deep learning), and software development are preferred. Excellent formal and interpersonal communication skills, and the ability to communicate effectively to a broad range of audiences such as faculty members, PIs.

• Python, Java, or similar language experience.

• Familiar with popular machine learning packages, e.g., support vector machines (SVMs), conditional
random fields (CRFs).

 In order to be considered, you must upload your cover letter, resume, Three names of references, and a Relevant writing sample. 

This requisition has been reposted. Previous applicants are still under consideration and need not apply.

Application must be submitted by 11:55 p.m. (ET) of the posting end date.