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Job no:
539462 Work type:
Staff Full-Time Location:
Main Campus (Gainesville, FL) Categories:
Computer Science, Artificial Intelligence, Dentistry, Physical/Mathematical Sciences Department: 34060700 - DN-COMMUNITY DENTISTRY
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:
Data Acquisition, Integration & Management Acquire, link, and manage large-scale datasets (e.g., Medicaid T-MSIS, commercial claims, EHR/dental EHR) Develop reproducible pipelines for data ingestion, cleaning, and transformation Ensure high data quality through validation, auditing, and documentation Implement scalable workflows for handling longitudinal and multi-source data
Advanced Statistical Analysis & Modeling Design and implement statistical and quasi-experimental analyses (e.g., regression, survival analysis, causal inference, difference-in-differences) Apply machine learning methods (e.g., classification, clustering, predictive modeling) where appropriate Evaluate model performance and ensure interpretability and robustness Collaborate with investigators to translate research questions into rigorous analytic plans
Programming, Automation & Reproducible Research Write efficient, well-documented code in R, Python, SAS, or SQL Build reproducible workflows using version control (e.g., Git) and structured pipelines Automate repetitive tasks and optimize data processing performance Maintain clear documentation for all analytic processes to ensure transparency and reproducibility
AI Integration & Responsible Use Leverage AI tools (e.g., NLP, large language models, automation tools) to enhance productivity and insight generation Apply AI responsibly with attention to bias, validity, privacy, and reproducibility Document AI-assisted workflows and ensure all outputs meet scientific rigor standards Stay current with emerging AI applications in healthcare data science
Data Visualization & Communication Develop clear, high-quality visualizations and dashboards for diverse audiences Translate complex analyses into actionable insights for researchers, clinicians, and policymakers Prepare figures, tables, and analytic summaries for manuscripts, grants, and presentations
Collaboration with Faculty & Research Teams Work closely with investigators to design studies, define variables, and interpret findings Provide technical expertise in study design, data structure, and analytic methods Support interdisciplinary collaboration across clinical, policy, and informatics teams
Data Governance, Security & Compliance Ensure compliance with HIPAA, DUAs, and institutional data governance policies Maintain secure data environments and protect sensitive information Document data provenance, transformations, and analytic decisions
Expected Salary: $65,000 - $85,000/year, commensurate with education/experience
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:
Master's degree in biostatistics, data science, epidemiology, computer science, health informatics, or related field or Bachelor's degree with 3+ years of relevant experience
Demonstrated experience working with Medicaid claims, commercial claims, and/or EHR data
Strong programming skills in R and/or Python (SAS/SQL desirable)
Experience with causal inference, longitudinal data analysis, or survival analysis
Familiarity with health services research, policy analysis, or population health
Experience applying machine learning and/or AI methods in healthcare data
Strong track record of clean, well-documented, reproducible code and workflows
Special Instructions to Applicants: In order to be considered, you must upload your cover letter and resume. This is a time-limited position.
Application must be submitted by 11:55 p.m. (ET) of the posting end date.
Health Assessment Required:No
Advertised:
09 Apr 2026 Eastern Daylight Time Applications close:
11 May 2026 Eastern Daylight Time
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Sprachkenntnisse
- English
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