Postdoctoral Researcher

University of Florida; Gainesville (FL); On-site; USD 61,000 - 64,000; Full time

Job summary

University of Florida in Gainesville is seeking a Postdoctoral Researcher to develop AI/ML methods for leveraging EHR data and applying them to biomedical problems. You will implement methods into research software and collaborate with informaticists, programmers, statisticians, and clinicians.

The candidate will lead study design and reporting, contribute to publications, and work on data processing and software development in a multidisciplinary team.

Qualifications

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

Skills

Python

R

Machine learning

Deep learning

Data modeling

EHR data

Education

Ph.D. in Biomedical Informatics/CS/IS/DS/Statistics/Applied Math/Physics

Tools

PyTorch

Scikit‑Learn

TensorFlow

Pandas

NumPy

SciPy

GNN

CNN

Job description

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.

Classification Title

Postdoctoral Researcher

Classification Minimum Requirements

• 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.

Health Assessment Required:

No

Final candidate will be required to provide an 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 institution outside the U.S. must be evaluated by a credentialing service approved by National Association of Credential Evaluation Services (NACES): http://naces.org/.