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| Classification Title: |
Postdoctoral Associate |
|---|---|
| Classification Minimum Requirements: |
The Division of Biomedical Informatics and Data Science within the Department of Health Outcomes and Biomedical Informatics (HOBI) at the University of Florida (UF) is seeking a highly motivated Postdoctoral Researcher with a strong background in biomedical informatics, artificial intelligence, machine learning, or data science. The successful candidate will join a collaborative and interdisciplinary research team to contribute to cutting-edge research at the intersection of AI/ML, real-world data, and health outcomes. Ongoing projects leverage large-scale multimodal clinical data, including electronic health records (EHRs), medical imaging, genomics, wearable devices, and unstructured clinical text, to develop novel methods for disease prediction, precision medicine, and clinical decision support. Applicants must have a Ph.D. in biomedical informatics, computer science, data science, biomedical engineering, statistics, or a related STEM field. Experience with EHR data, machine learning or deep learning, natural language processing, medical imaging, or large language models (LLMs) is highly desirable. Familiarity with causal inference, real-world evidence, multimodal data integration, or cloud/high-performance computing is a plus. The Postdoctoral Researcher will collaborate closely with biomedical informaticians, clinicians, statisticians, and translational researchers across the University of Florida. Responsibilities include developing and evaluating AI/ML methods, analyzing large-scale clinical datasets, building computational tools and software, preparing manuscripts for publication in high-impact journals, presenting research at scientific conferences, and contributing to NIH and other federal grant proposals. The position offers excellent opportunities to lead research projects, publish extensively, develop new methodological expertise, and establish an independent research program within a highly collaborative and well-funded research environment. • Ph.D. in biomedical informatics, computer science, data science, biomedical engineering, statistics, biostatistics, or a related quantitative STEM field. |
| Job Description: |
Conduct independent and collaborative research in biomedical informatics, including the development and application of artificial intelligence (AI), machine learning (ML), and statistical methods to analyze large-scale, multimodal clinical data (e.g., electronic health records, medical imaging, genomics, wearable data, and unstructured clinical text). Design, implement, validate, and optimize computational methods and analytical pipelines to address clinically relevant research questions. Develop, implement, and maintain research software, data processing pipelines, and computational tools to support data integration, extraction, transformation, quality assurance, and analysis. Contribute to reproducible research practices, software documentation, and code sharing. Participate in the design, execution, analysis, and dissemination of research studies. Prepare scientific manuscripts, conference presentations, technical reports, and other scholarly products. Contribute to the interpretation of findings and collaborate with multidisciplinary teams on the publication of research results. |
| Expected Salary: |
$61,008 - $65,000 |
| Required Qualifications: |
• Ph.D. in biomedical informatics, computer science, data science, biomedical engineering, statistics, biostatistics, or a related quantitative STEM field. |
| Preferred: |
|
| Special Instructions to Applicants: |
In order to be considered, you must upload your cover letter and resume. Application must be submitted by 11:55 p.m. (ET) of the posting end date. |
| Health Assessment Required: | No |
