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Higher Education, Research

Data Scientist I

Gainesville, Florida, United StatesOnsiteFull Time$61,000–$75,000 /yrPosted 2 months agoVisa sponsorship available

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Role summary

The Data Scientist I position at UF's Main Campus requires a Master's degree in a relevant field or a Bachelor's degree with two years of experience. This role involves designing, implementing, and maintaining data pipelines within a HIPAA-aligned environment, focusing on data integrity, quality, and reproducibility. The scientist will engineer high-performance workflows for large-scale biomedical datasets using Python and parallel computing, standardize data formats for integrated analytics and AI/ML, and implement technical controls for compliant data access. Preferred qualifications include experience with clinical/biomedical data, HPC, secure computing environments, and data security/privacy considerations.

JOB NO:

539303

WORK TYPE:

Staff Full-Time

LOCATION:

Main Campus (Gainesville, FL)

CATEGORIES:

Computer Science

DEPARTMENT:

29051308 - MD-MED QUANTITATIVE HEALTH

CLASSIFICATION TITLE:

Data Scientist I

CLASSIFICATION MINIMUM REQUIREMENTS:

A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and two years of experience; Master's Degree in data science, statistics, bioinformatics, analytics, or similar field.

JOB DESCRIPTION:

A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and two years of experience; Master's Degree in data science, statistics, bioinformatics, analytics, or similar field.

Essential Functions;

  • Design, implement, and maintain scalable data ingestion and processing pipelines supporting the NeuroEnclave within UF’s HIPAA-aligned computing environment.
  • Develop and maintain data validation, profiling, and quality control workflows to ensure data integrity, provenance, and reproducibility across datasets.
  • Engineer and optimize high-performance data workflows for large-scale biomedical datasets using Python-based tools and parallel computing frameworks.
  • Standardize and harmonize heterogeneous data formats to support integrated analytics, AI/ML workflows, and cross-dataset interoperability.
  • Implement technical controls supporting IRB-, HIPAA-, and NIH-compliant data access, including containerized environments, access controls, and audit-ready workflows.

EXPECTED SALARY:

$61,000 - $75,000 annually

REQUIRED QUALIFICATIONS:

A Bachelor's Degree in data science, statistics, bioinformatics, analytics, or similar field and two years of experience; Master's Degree in data science, statistics, bioinformatics, analytics, or similar field.

PREFERRED:

Experience working with clinical or biomedical research data.
Familiarity with high-performance computing (HPC) or secure research computing environments.
Experience with parallel computing frameworks (e.g., Dask or similar).
Knowledge of data security, privacy, and compliance considerations (HIPAA, IRB, NIH Data Management & Sharing requirements).
Experience supporting data infrastructure for AI/ML or advanced analytics.
Prior experience in a research or academic data environment.

SPECIAL INSTRUCTIONS TO APPLICANTS:

In order to be considered for this time-limited position, you must upload your resume.

Application must be submitted by 11:55 p.m. (ET) of the posting end date.

HEALTH ASSESSMENT REQUIRED:

No

ADVERTISED:

30 Mar 2026

Eastern Daylight Time

APPLICATIONS CLOSE:

06 Apr 2026

Eastern Daylight Time

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