Postdoctoral Researcher

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

Job no: 535998

Work type: Post Doc Associate

Location: Main Campus (Gainesville, FL)

Categories: Grant or Research Administration, Health Care Administration/Support

Department: 29240101 - MD-HOBI-GENERAL

Classification Title

Postdoctoral Researcher

Classification Minimum Requirements

• 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

Job Description

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.

Expected Salary

$61,000 - $64,000

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

• 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.

Advertised: 05 Oct 2026 Eastern Daylight Time

Applications close: 13 Nov 2026 Eastern Standard Time