Data Scientist II

Job No: 537353
Work Type: Full Time
Location: Main Campus
(Gainesville, FL)
Categories: Health Care Administration/Support
Department: 29240101 – MD-HOBI-GENERAL

Job
Description

Classification Title:

Data Scientist II

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.

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.

Expected Salary:

$73,000

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

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.

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

Health Assessment Required:
No

Applications Close: 14 October
2025

To apply, visit https://explore.jobs.ufl.edu/en-us/job/537353

Our
Commitment:
The University of Florida is an Equal Employment Opportunity Employer.

Hiring is contingent on eligibility to work
in the U.S. The University of Florida is a public institution and is subject to all requirements under Florida Sunshine and Public Record
laws. If an accommodation due to a disability is needed to apply for this position, please call 352-392- 2477 or the Florida Relay System at
800-955-8771 (TDD) or visit Accessibility at UF.

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