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Inside Higher Ed

Postdoctoral Researcher - Biomedical Informatics and Data Science (BIDS)

Inside Higher Ed, Gainesville, Florida, us, 32635

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Postdoctoral Researcher - Biomedical Informatics and Data Science (BIDS)

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 clinical 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 multiple stakeholders, including informatics experts, clinicians, basic scientists, and translational researchers in the department as well as across the University of Florida campus. Responsibilities: Develop methods and tools to use electronic health record (EHR) data effectively; 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. Lead and participate in the design, implementation, and reporting of research and evaluation studies. Contribute to scientific reports, conference papers, journal articles, and grant proposals, including documentation of methods, presentation of data, and participation in the interpretation of results. Required Qualifications: 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. Preferred Qualifications: 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. Being able to develop informatics tools and software packages. Excellent formal and interpersonal communication skills and the Ability to communicate effectively with a broad range of audiences, including students, clinicians, and principal investigators (PIs). The University of Florida is an Equal Employment Opportunity Employer.

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