Postdoctoral Researcher

4 weeks ago


Gainesville, Florida, United States InsideHigherEd Full time
Job Title: Postdoctoral Researcher

We are seeking a highly motivated Postdoctoral Researcher to join our team in the Division of Biomedical Informatics (BMI) within the Department of Health Outcomes and Biomedical Informatics (HOBI) at the University of Florida (UF). The successful candidate will have a Ph.D. in biomedical informatics, computer science, electrical engineering, computer engineering, information science, data science, or a related field.

Key Responsibilities:

* Develop methods and tools to effectively use electronic health record (EHR) data
* Apply machine learning methods to solve critical clinical and biomedical problems
* Implement methods into software that meets research needs
* Lead and participate in design, implementation, and reporting of research and evaluation studies

Requirements:

* Ph.D. in biomedical informatics, computer science, electrical engineering, computer engineering, information science, data science, or a related field
* Working experience with electronic health records (EHRs) data, general data science, machine learning, computer vision, and natural language processing (NLP)

Preferred Qualifications:

* Python, Java, or similar programming language experience
* Working experience with popular machine learning packages, e.g., support vector machines (SVMs), conditional random fields (CRFs), Gradient Boosting Machines (GBM), deep learning methods

What We Offer:

* Competitive salary and benefits package
* Opportunity to work with a diverse group of stakeholders, including informatics experts, clinicians, basic scientists, and translational researchers
* Collaborative and dynamic work environment

How to Apply:

* Please upload your cover letter and resume to the University of Florida's job portal

Equal Employment Opportunity:

* The University of Florida is committed to non-discrimination with respect to race, creed, color, religion, age, disability, sex, sexual orientation, gender identity and expression, marital status, national origin, political opinions or affiliations, genetic information and veteran status in all aspects of employment

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