Postdoctoral Researcher (83677)

We are recruiting a Postdocotral Researcher with a focus on data science and Machine Learning (ML). The successful applicant will have a Ph.D. in biomedical informatics, computer science or a related field. Working experience with electronic health records (EHRs) data, general data science, machine learning, and natural language processing (NLP) 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 data mining using EHRs, machine learning methods, software 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.

50% Develop methods and tools to effectively use electronic health record (EHR) data; apply ML methods (especially deep learning methods) to solve critical medical problems.

25% Implement methods into software that meets research needs, manage and update source codes as needed. Work in an interdisciplinary team of informaticists, programers, information quality experts, statisticians, and researchers during software development.

15% 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.

10% Participate in collaborative projects, contribute to the data processing, software development, and other collaborative efforts.

Minimum:

A Ph.D. in biomedical informatics, computer science or a related field. Working experience with data science using EHRs, machine learning, data mining, and natural language processing are preferred.

Preferred:

Ph.D. in Computer Science, Biomedical Informatics, or 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).

Applicants should upload an application package including three names of reference, a letter of interest and a CV.

Final candidate will be required to provide official transcript to the hiring department upon hire. A transcript will not be considered “official” if a designation of “Issued to Student” is visible. Degrees earned from an education institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/ .

The University of Florida is an equal opportunity institution dedicated to building a broadly diverse and inclusive faculty and staff.

The University of Florida is An Equal Employment Opportunity Institution. If an accommodation due to a disability is needed to apply for this position, please call 352/392-2477 or the Florida Relay System at 800/955-8771 (TDD). Hiring is contingent upon eligibility to work in the US. Searches are conducted in accordance with Florida's Sunshine Law.

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