Postdoctoral Associate

A Ph.D. in biomedical informatics, computer science, information science, data science, (bio)-statistics, (applied) mathematics, physics, or a related STEM fields. 

The Division of Biomedical Informatics and Data Science (BIDS) within the Department of Health Outcomes and Biomedical Informatics (HOBI) at the University of Florida (UF) is seeking a highly motivated and ambitious Postdoctoral Researcher with a strong background in Artificial Intelligence and Machine Learning (AI/ML). This is an exciting opportunity to join a dynamic and interdisciplinary research environment focused on developing innovative AI/ML solutions for healthcare and biomedical research. The successful candidate will join a collaborative research team to contribute to projects at the intersection of AI/ML, real-world data, and health outcomes. The Postdoctoral Researcher will play a key role in developing and applying cutting-edge methods to analyze large-scale clinica datasets, including electronic health records (EHR), medical imaging, and unstructured clinical text. The candidate is required to have a Ph.D. in biomedical informatics, computer science, information science, data science, (bio)-statistics, (applied) mathematics, physics, or a related STEM field. Prior working experience with EHR data, machine learning, deep learning, imaging informatics, and large language models (LLM) is preferred. This position will require collaboration with diverse stakeholders, including informatics experts, clinicians, basic scientists, and translational researchers in the department as well as across the University of Florida campus. In particular, the Postdoctoral Researcher will lead and assist with data modeling, AI/ML methods, software package development, scientific paper writing, and grant proposal writing.

More About This Role

Develop methods and tools to effectively use electronic health record (EHR) data; apply AI/ML methods to solve critical clinical and biomedical problems.

Implement methods into 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.

Lead and participate in the design, implementation, and reporting of research and evaluation studies. Contributions to scientific reports, conference papers, journal articles, and grant proposals are expected, including documentation of method, presentation of data, and participation in interpretation of results.

Lead and participate in collaborative projects and contribute to data processing, software development, and other collaborative efforts.

$61,000-$64,000, commensurate with education and experience

• A Ph.D. in biomedical informatics, computer science, information science, data science, (bio)-statistics, (applied) mathematics, physics, or a related STEM fields.
• Strong programming and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep learning, and data modeling techniques.

• Prior working experience with EHR data, machine learning, deep learning, imaging informatics, and large language models (LLM) is preferred.
• Prior working experience with popular ML packages, e.g., PyTorch, Scikit-learn, TensorFlow, Pandas, Keras, NumPy, SciPy, etc., and traditional ML models such as support vector machines (SVMs) and Gradient Boosting Machines (GBM), as well as deep learning models (GNN, CNN, GCN, etc.) including LLMs.
• Being able to develop informatics tools and software packages.
• Excellent formal and interpersonal communication skills and the ability to communicate effectively to a diverse audience, such as students, clinicians, and PIs.

The successful candidate is expected to lead and contribute to research projects involving:

1. Utilization of real-world data (RWD) such as electronic health records (EHRs), medical images, and clinical notes in combination with AI/ML methods for health for biomedical and health outcome research.
2. Development and application of advanced informatics or AI/ML methods, including large language models (LLMs) and other foundation models.
3. Development and application of causal inference and discovery methods, particularly causal AI approaches for clinical trial emulation.

In order to be considered, you must upload your cover letter and resume.

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).

This is a time limited position.

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). More information is available here.  

The University of Florida is an Equal Employment Opportunity Employer.

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