Healthcare Data Scientist II: Predictive Analytics & ETL

University of Texas at Austin; Austin (TX); Presencial; USD 72.000 - 88.000; Jornada completa

Descripción de la vacante

The University of Texas at Austin’s Dell Medical School seeks a Data Science Analyst II to partner with clinical, operational, and research teams to develop advanced analytics, predictive models, and decision-support tools that improve patient care and institutional performance.

You will work directly with healthcare databases, build automated data pipelines, ensure data quality, and deliver actionable insights through dashboards, while complying with HIPAA and institutional policies.

Formación

• Master's degree in data science or related field with 3+ years of experience.
• Strong SQL, data modeling, and Python programming skills.
• Experience building ETL pipelines and cloud analytics.
• Experience with healthcare or clinical data preferred.

Responsabilidades

• Partner with clinicians and stakeholders to identify analytical opportunities.
• Design and deploy predictive models for clinical and operational needs.
• Develop automated data pipelines and ensure data quality.
• Create dashboards and actionable insights for decision support.

Conocimientos

SQL

Python

Data modeling

Machine learning

ETL pipelines

Cloud platforms

Educación

Master's degree in Data Science/Statistics/CS/Engineering/Health Informatics

Herramientas

Azure

AWS

Google Cloud

Descripción del empleo

The University of Texas at Austin’s Dell Medical School seeks a Data Science Analyst II to partner with clinical, operational, and research teams to develop advanced analytics, predictive models, and decision-support tools that improve patient care and institutional performance.

You will work directly with healthcare databases, build automated data pipelines, ensure data quality, and deliver actionable insights through dashboards, while complying with HIPAA and institutional policies.