Postdoctoral Researcher
$61k - $64kUniversity of Florida
Postdoctoral Researcher 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. Special Instructions to Applicants:
In order to be considered, you must upload your cover letter and resume. Application must be submitted by 11:55 p.m. (ET) of the posting end date. This is a time limited position. This requisition has been reposted. Previous applicants are still under consideration and need not apply. 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): Health Assessment Required:No Advertised: 29 Jul 2026 Eastern Daylight Time
Applications close: 30 Aug 2026 Eastern Daylight Time Whatsapp Facebook LinkedIn Email App
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. Special Instructions to Applicants:
In order to be considered, you must upload your cover letter and resume. Application must be submitted by 11:55 p.m. (ET) of the posting end date. This is a time limited position. This requisition has been reposted. Previous applicants are still under consideration and need not apply. 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): Health Assessment Required:No Advertised: 29 Jul 2026 Eastern Daylight Time
Applications close: 30 Aug 2026 Eastern Daylight Time Whatsapp Facebook LinkedIn Email App
Vacancy posted 1 day ago
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