Data Scientist I
University of Florida· Higher Education· Oct 20, 2026 · 7d ago
Gainesville, FL
In office
Full-time
Mid
$61K–$65K
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.
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 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
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.
Health Assessment Required:
no
Application prep
Use the role’s language and application details while tailoring your materials.
Keywords to mirror
machine learningaipythonjavajavascripttypescriptsql
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