Publisher
source

University of Florida

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Postdoctoral Associate in Biomedical Informatics, AI/ML, and Health Outcomes University of Florida in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Expected salary is $61,008–$65,000. The postdoctoral position is described as being in a well-funded research environment; no tuition or stipend details beyond salary are provided.

Deadline

Nov 6, 2026

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Country

United States

University

University of Florida

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Keywords

Computer Science
Data Science
Biomedical Engineering
Information Technology
Medical Imaging
Biology
Artificial Intelligence
Natural Language Processing
Precision Medicine
Medical Science
Salud Pública
Clinical Decision Support
Health Outcomes
Real-world Data
Genomic
Statistics
Bioinformatic
Electronic Health Record
ML

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About this position

Postdoctoral Associate at the University of Florida in the Division of Biomedical Informatics and Data Science within the Department of Health Outcomes and Biomedical Informatics (HOBI).

This postdoctoral opening focuses on biomedical informatics, artificial intelligence, machine learning, data science, and health outcomes. The research program uses large-scale multimodal clinical data, including electronic health records (EHRs), medical imaging, genomics, wearable devices, and unstructured clinical text, to develop methods for disease prediction, precision medicine, and clinical decision support.

The successful candidate will work with a collaborative interdisciplinary team and contribute to developing and evaluating AI/ML methods, analyzing large clinical datasets, building computational tools and software, and preparing manuscripts, conference presentations, and grant proposals. The role offers opportunities for independent research and publication in a highly collaborative environment.

Eligibility highlights: a Ph.D. in biomedical informatics, computer science, data science, biomedical engineering, statistics, biostatistics, or a related quantitative STEM field; strong Python and/or R programming; SQL and Linux/Unix are desirable; and prior research experience with biomedical/healthcare datasets is expected. Preferred experience includes EHRs, real-world data, multimodal integration, NLP, deep learning, LLMs, causal inference, reproducible software, and NIH-funded research.

Funding: salary is listed at $61,008–$65,000.

Location: Main Campus, Gainesville, Florida, United States.

Application: submit the application through the UF PageUp portal and upload a cover letter and resume. Applications close on 2026-11-06.

Funding details

Expected salary is $61,008–$65,000. The postdoctoral position is described as being in a well-funded research environment; no tuition or stipend details beyond salary are provided.

What's required

Applicants must have a Ph.D. in biomedical informatics, computer science, data science, biomedical engineering, statistics, biostatistics, or a related quantitative STEM field. Strong programming skills in Python and/or R are required, with SQL and Linux/Unix desirable. Candidates should have demonstrated research experience in biomedical informatics, artificial intelligence, machine learning, or data science using large-scale biomedical or healthcare datasets such as EHRs, medical imaging, genomics, or other real-world data. Excellent written and oral communication skills and the ability to work in a collaborative, multidisciplinary research environment are required. Preferred experience includes causal inference, multimodal data integration, NLP, deep learning, LLMs, reproducible research software, and NIH/federally funded projects.

How to apply

Submit the application through the UF PageUp portal using the Apply Now link. Upload a cover letter and resume. Apply by 11:55 p.m. ET on the posting end date.

More information can be found here

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