Data Scientist I

University of Florida; Gainesville (FL); On-site; USD 61,000 - 65,000; Full time

Job summary

The University of Florida in Gainesville seeks a Data Scientist I on the Main Campus to design, develop, and support software applications and data systems for biomedical research, contributing to the PLuS2 project and future initiatives.

You will work with investigators, biostatisticians, clinicians, and research staff to translate research needs into scalable, reproducible computational solutions, including data-processing pipelines, NLP/AI methods, and data visualizations.

Qualifications

• Bachelor's degree and two years of related experience.
• Master's degree in a related field preferred.
• Strong programming and data analysis skills are required.

Responsibilities

• Design, develop, test, and maintain research software and pipelines.
• Integrate diverse clinical and research datasets.
• Apply NLP/ML methods to biomedical data and produce reproducible results.
• Collaborate with investigators and staff to implement scalable solutions.

Skills

Python

R

Java

C++

JavaScript/TypeScript

Education

Bachelor's degree in computer or physical science, statistics, bioinformatics, analytics, or similar

Master's degree in computer or physical science, statistics, bioinformatics, analytics, or similar

Tools

Git

APIs

Databases

SQL

Linux

Job description

Data Scientist I

Job No: 541766

Work Type: Full Time

Location: Main Campus (Gainesville, FL)

Categories: Grant or Research Administration, Computer Science

Department: 29140600 - MD-SURG-POPULATION HEALTH SCI

Job Description

Classification Title: Data Scientist I

Classification Minimum Requirements: A Bachelor's Degree in computer or physical science, statistics, bioinformatics, analytics, or similar field and two years of experience; Master's Degree in computer or physical science, statistics, bioinformatics, analytics, or similar field.

Responsible for designing, developing, maintaining, and supporting software applications, computational workflows, and data systems for biomedical and clinical research. The position will apply principles of computer science, software engineering, data engineering, and computational methods to support the PLuS2 project and future research initiatives.

Key responsibilities include developing research software and data-processing pipelines, integrating heterogeneous research datasets, automating analytical workflows, implementing computational and statistical methods, creating data visualizations, conducting quality assurance activities, and developing reproducible research tools.

The individual will collaborate closely with investigators, biostatisticians, clinicians, and research staff to translate research needs into reliable, scalable, and efficient computational solutions that support research operations and scientific discovery.

Duties will include:

Research Software Development and Computational Tools Design, develop, test, maintain, and document research software applications, scripts, APIs, and computational tools that support biomedical and clinical research projects, including the PLuS2 project and related future research initiatives. Ensure software solutions are reliable, scalable, secure, and well documented.

Research Data Engineering and Computational Pipelines Develop, implement, and maintain automated and reproducible data-processing pipelines for integrating, transforming, cleaning, validating, and managing clinical, electronic health record, registry, survey, imaging, and other research datasets. Ensure data quality, integrity, security, and reproducibility in accordance with research and institutional standards.

Natural Language Processing and Artificial Intelligence Develop and apply natural language processing, machine learning, and artificial intelligence methods to research data, including extraction and analysis of information from clinical notes, medical records, survey responses, and other unstructured data sources. Create computational models, AI-based applications, and text-processing pipelines to support research objectives and improve research efficiency.

Computational Analysis and Research Applications Collaborate with investigators, biostatisticians, and research staff to implement computational and statistical methods that address research questions and study objectives. Develop analytical workflows, predictive models, data visualizations, and other computational solutions to support data analysis, interpretation of findings, and dissemination of results.

Software Automation and Research Infrastructure Develop, maintain, and enhance automated research workflows and computational infrastructure to improve the efficiency, scalability, and reproducibility of research activities. Integrate databases, APIs, cloud-based resources, and research systems as needed to support ongoing and future projects.

Expected Salary

$61,000 - $65,000

Required Qualifications

A bachelor's degree in computer or physical science, statistics, bioinformatics, analytics, or similar field and two years of experience; master's degree in computer or physical science, statistics, bioinformatics, analytics, or similar field.

Preferred

• Master's degree in computer science, Computer Engineering, Data Science, Bioinformatics, Computational Science, or a related field.
• Experience developing software or computational tools for biomedical, clinical, scientific, or research applications.
• Proficiency in one or more programming languages such as Python, R, Java, C++, or JavaScript/TypeScript.
• Experience with software engineering principles, Git/version control, testing, debugging, APIs, databases, and software documentation.
• Experience designing and implementing data-processing or ETL pipelines and working with large or heterogeneous datasets.
• Experience with relational databases and SQL, including database design, querying, and data integration.
• Experience with machine learning, statistical computing, data visualization, or other computational research methods.
• Experience developing reproducible research workflows and automated computational pipelines.
• Experience working in Linux, cloud computing, high-performance computing, containers, or research computing environments is desirable.
• Experience collaborating with researchers, biostatisticians, clinicians, or interdisciplinary research teams

Health Assessment Required

No

Applications Close

27 October 2026

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.