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

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