Location: Gainesville, FL
Cap-Exempt H-1B Position — No lottery required
**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; 1. Design, implement, and maintain scalable data ingestion and processing pipelines supporting the NeuroEnclave within UF’s HIPAA-aligned computing environment. 2. Develop and maintain data validation, profiling, and quality control workflows to ensure data integrity, provenance, and reproducibility across datasets. 3. Engineer and optimize high-performance data workflows for large-scale biomedical datasets using Python-based tools and parallel computing frameworks. 4. Standardize and harmonize heterogeneous data formats to support integrated analytics, AI/ML workflows, and cross-dataset interoperability. 5. 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 co