| 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.
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| 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.
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| 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.
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| 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.
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