Data Scientist I

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

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., 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