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 invites applications for a Data Scientist I on the Main Campus. This full-time staff role focuses on designing, developing, and supporting software applications, data systems, and computational workflows for biomedical research, including NLP/AI methods.

Responsibilities include building reproducible pipelines, collaborating with investigators and biostatisticians, and delivering scalable data analyses and visualizations to support research operations and

Qualifications

• Bachelor’s degree in computer or physical science, statistics, bioinformatics, analytics, or similar field.
• Two years of experience; Master’s degree in computer or physical science, statistics, bioinformatics, analytics, or similar field preferred.

Responsibilities

• Design, develop, test, and document research software applications, scripts, APIs, and computational tools.
• Develop automated data-processing pipelines for integrating and managing clinical and research datasets.
• Apply NLP, ML, and AI methods to research data and build reproducible analysis pipelines.
• Collaborate with investigators and biostatisticians to implement computational methods and insights.
• Develop automated workflows and scalable research infrastructure for reproducible science.

Job description

Job no: 541766
Work type: Staff Full-Time
Location: Main Campus (Gainesville, FL)
Categories: Grant or Research Administration, Computer Science
Department: 29140600 - MD-SURG-POPULATION HEALTH SCI

Classification Title

Data Scientist I

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.

Job Description:

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-documentation.

• 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.

$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.
• 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

Advertised: 20 Oct 2026 Eastern Daylight Time
Applications close: 27 Oct 2026 Eastern Daylight Time

The University of Florida is an Equal Employment Opportunity Employer.