Data Scientist I

Data Scientist I

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
x Acquire, link, and manage large-scale datasets (e.g., Medicaid T-MSIS, commercial claims, EHR/dental EHR)
x Develop reproducible pipelines for data ingestion, cleaning, and transformation
x Ensure high data quality through validation, auditing, and documentation
x Implement scalable workflows for handling longitudinal and multi-source data

Advanced Statistical Analysis & Modeling
x Design and implement statistical and quasi-experimental analyses (e.g., regression, survival analysis, causal inference, difference-in-differences)
x Apply machine learning methods (e.g., classification, clustering, predictive modeling) where appropriate
x Evaluate model performance and ensure interpretability and robustness
x Collaborate with investigators to translate research questions into rigorous analytic plans

Programming, Automation & Reproducible Research
x Write efficient, well-documented code in R, Python, SAS, or SQL
x Build reproducible workflows using version control (e.g., Git) and structured pipelines
x Automate repetitive tasks and optimize data processing performance
x Maintain clear documentation for all analytic processes to ensure transparency and reproducibility

AI Integration & Responsible Use
x Leverage AI tools (e.g., NLP, large language models, automation tools) to enhance productivity and insight generation
x Apply AI responsibly with attention to bias, validity, privacy, and reproducibility
x Document AI-assisted workflows and ensure all outputs meet scientific rigor standards
x Stay current with emerging AI applications in healthcare data science

Data Visualization & Communication
x Develop clear, high-quality visualizations and dashboards for diverse audiences
x Translate complex analyses into actionable insights for researchers, clinicians, and policymakers
x Prepare figures, tables, and analytic summaries for manuscripts, grants, and presentations

Collaboration with Faculty & Research Teams
x Work closely with investigators to design studies, define variables, and interpret findings
x Provide technical expertise in study design, data structure, and analytic methods
x Support interdisciplinary collaboration across clinical, policy, and informatics teams

Data Governance, Security & Compliance
x Ensure compliance with HIPAA, DUAs, and institutional data governance policies
x Maintain secure data environments and protect sensitive information
x 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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