Postdoctoral Researcher: AI for EHR Data & Tools

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

Job summary

CHEManager International on the University of Florida campus in Gainesville invites applications for a Postdoctoral Researcher focused on biomedical informatics and AI/ML with EHR data. You will develop methods, implement software, and work with an interdisciplinary team of informaticists, programmers, statisticians, and researchers.

Candidates will have a PhD in a relevant STEM field and strong Python/R skills, with expertise in ML/DL and data modeling.

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 clinical and biomedical problems.
• Implement methods into software that meets research needs and maintain source code.
• Work in an interdisciplinary team of informaticists, programmers, statisticians, and researchers during software development.
• Lead and participate in design, implementation, and reporting of research and evaluation studies; contribute to scientific reports, conference papers, 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

Deep learning

Data modeling

Communication skills

Education

PhD in biomedical informatics or related STEM field

Tools

PyTorch

Scikit-learn

TensorFlow

Pandas

NumPy

SciPy

Job description

CHEManager International on the University of Florida campus in Gainesville invites applications for a Postdoctoral Researcher focused on biomedical informatics and AI/ML with EHR data. You will develop methods, implement software, and work with an interdisciplinary team of informaticists, programmers, statisticians, and researchers.

Candidates will have a PhD in a relevant STEM field and strong Python/R skills, with expertise in ML/DL and data modeling.