Job Posting Title:
Data Science Analyst II ----
Hiring Department:
Dell Medical School ----
Position Open To:
All Applicants ----
Weekly Scheduled Hours:
40 ----
FLSA Status:
Exempt from FLSA ----
Earliest Start Date:
Immediately ----
Position Duration:
Expected to Continue ----
Location:
UT MAIN CAMPUS ----
Job Details:
Purpose
The Data Science Analyst II partners with clinical, operational, and administrative leaders to develop advanced analytics, predictive models, and decision-support solutions that improve patient care, operational efficiency, and organizational performance.
A key focus of this position is building a reliable foundation for healthcare analytics by working directly with clinical databases and healthcare data to extract, integrate, clean, validate, and prepare accurate, analysis-ready datasets. Supporting the Department of Pediatrics, this role emphasizes hands-on SQL, relational databases, healthcare data structures, data integration, and automated data pipelines to ensure clinical and research teams have access to reliable information for reporting, operational decision-making, and future advanced analytics initiatives.
This role translates complex healthcare and business problems into scalable data science and machine learning solutions while collaborating closely with clinicians, researchers, informaticists, data engineers, and business stakeholders . The Data Science Analyst II develops predictive models, builds automated data pipelines, and delivers actionable insights that support enterprise decision-making and clinical innovation.
Responsibilities
Clinical & Operational Partnership
Partner directly with clinicians, operational leaders, researchers, and administrative stakeholders to identify analytical opportunities that improve patient care and operational performance.
Translate complex clinical and business questions into scalable analytical solutions.
Present technical findings and recommendations to both technical and non-technical audiences.
Serve as a trusted consultant on data science, predictive analytics, and AI initiatives.
Advanced Data Science & Predictive Modeling
Design, develop, validate, and deploy predictive and machine learning models supporting clinical and operational initiatives.
Perform feature engineering, model evaluation, hyperparameter tuning, and performance monitoring.
Conduct forecasting, trend analysis, anomaly detection, and scenario modeling.
Monitor deployed models for drift and recommend improvements as data changes.
Translate analytical findings into actionable recommendations.
Data Integration & Engineering
Build and maintain automated ETL pipelines and reproducible analytical workflows.
Integrate structured and unstructured data from multiple enterprise healthcare systems.
Ensure data quality through validation, reconciliation, and testing.
Partner with Data Engineering and IT teams to optimize data architecture and performance.
Use SQL and relational database tools to extract, transform, reconcile, and organize healthcare data into reliable, reusable datasets for clinical, operational, and research analytics.
Visualization & Decision Support
Develop dashboards and interactive reporting tools that support operational and clinical decision-making.
Automate recurring reports and analytical processes.
Maintain consistency of KPIs and enterprise reporting standards.
Create clear visualizations that simplify complex analytical findings.
Project Leadership & Collaboration
Lead small-to-medium analytics initiatives from planning through implementation.
Define project milestones, manage priorities, and communicate status updates.
Mentor junior analysts and promote data science best practices.
Collaborate closely with data architects, engineers, informaticists, and clinical leaders to ensure successful implementation.
Marginal or Periodic Functions
Evaluate emerging AI, machine learning, and cloud technologies for enterprise adoption.
Monitor model performance and…