| Classification Minimum Requirements: |
A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and three years of experience; Master's Degree in data science, statistics, bioinformatics, analytics, or similar field and one year of experience; Doctoral Degree in data science, statistics, bioinformatics, analytics, or similar field.
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| Job Description: |
The Division of Biomedical Informatics and Data Science (BIDS) within the Department of Health Outcomes and Biomedical Informatics (HOBI) at the University of Florida (UF) is seeking a highly skilled and motivated Data Scientist II with expertise in artificial intelligence, machine learning, and advanced analytics. This role offers an exciting opportunity to contribute to an interdisciplinary research environment focused on developing innovative data science solutions for healthcare and biomedical research. The successful candidate will collaborate with faculty, trainees, and research staff to design and implement analytical pipelines, apply advanced AI/ML methods, and support projects leveraging large-scale clinical and real-world data, including electronic health records (EHRs), medical imaging, and unstructured clinical text. The Data Scientist II will also play a key role in ensuring data quality, harmonization, and reproducibility, while contributing to manuscripts, presentations, and grant proposals.
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.
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| Required Qualifications: |
A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and three years of experience; Master's Degree in data science, statistics, bioinformatics, analytics, or similar field and one year of experience; Doctoral Degree in data science, statistics, bioinformatics, analytics, or similar field.
A M.S. 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
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| 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.
Applying advanced statistical, AI/ML, and informatics methods to analyze real-world data (EHRs, images, and clinical notes) for biomedical and health outcomes research.
Supporting the development and implementation of novel informatics approaches, including vision-language models and foundation models.
Assisting with causal inference and discovery methods, including causal AI approaches for clinical trial emulation.
Contributing to manuscript preparation, grant proposal development, and dissemination of scientific results.
Providing technical guidance and near-peer mentorship to graduate students and research trainees within the group.
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| 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.
The University of Florida is committed to providing equal employment opportunities for all qualified individuals. If you require an accommodation due to a disability to apply for this position, please contact the ADA Office at (352) 392-2477 or the Florida Relay System at (800) 955-8771 (TDD). For more information, visit the UF ADA Compliance website: https://ada.ufl.edu
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