Postdoctoral Researcher: AI/ML for EHR Data

CHEManager International; Gainesville (FL); On-site; USD 61,000 - 64,000; Full time

Job summary

University of Florida on the Gainesville campus seeks a Postdoctoral Researcher to develop AI/ML approaches using EHR data. You will implement software tools, work with a diverse team of informaticists, programmers, and researchers, and contribute to research reports and grant proposals.

The role emphasizes interdisciplinary collaboration, code management, and advancing biomedical informatics through data-driven methods and software development.

Qualifications

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

Responsibilities

• 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 and manage source code.
• Lead and participate in design, implementation, and reporting of research and evaluation studies.
• Contribute to scientific reports, conference papers, journal articles, and grant proposals.
• Lead and participate in collaborative projects and contribute to data processing, software development, and other collaborative efforts.

Skills

Python

R

machine learning

data analysis

Education

Ph.D. in biomedical informatics or related STEM

Tools

PyTorch

Scikit-learn

TensorFlow

Pandas

NumPy

SciPy

Keras

Job description

University of Florida on the Gainesville campus seeks a Postdoctoral Researcher to develop AI/ML approaches using EHR data. You will implement software tools, work with a diverse team of informaticists, programmers, and researchers, and contribute to research reports and grant proposals.

The role emphasizes interdisciplinary collaboration, code management, and advancing biomedical informatics through data-driven methods and software development.