Data Architect

The University of Texas System - Austin, TX

Part-time - Mid Level

Austin, TX

Educational Services

About the position

The Data Architect at the University of Texas at Austin's Department of Women's Health will be responsible for extracting and merging data from various electronic health records systems to create a clinical research database. This role involves providing technical guidance and analytic support for clinical research projects, ensuring the development of necessary data infrastructure and application systems to support research and clinical-based registries/databases.

Responsibilities

• Develop the necessary data infrastructure and application systems to support research and clinical-based registries/databases for the Women's Health Department.
• Manage the successful completion of assigned projects, including information systems development and support.
• Serve as a liaison between the clinical team and the informatics and technology teams at Ascension Seton.
• Guide the team on best practices for infrastructure design.
• Assist the team in organizing, querying, and visualizing clinical data for outcomes analyses and research/quality improvement initiatives.
• Provide and coordinate ongoing technical support to current and future Women's Health data systems for outcomes, research, and quality improvement needs.
• Perform other related duties as assigned.

Requirements

• Four-year Bachelor's degree in Computer Science, Informatics, Health Care, Social Sciences, or other related field.
• Five to seven years of programming and management or project management experience, including data architecture and database development (Python, SQL, and no-SQL).
• System level knowledge of programming, OS operations, database query, and data mining experience.
• Experience with RedCAP and clinical registries, health care projects, data analytics, and creating quality and outcome reports.
• Strong organizational, communication, and interpersonal skills.
• Ability to work as part of a multidisciplinary team.

Nice-to-haves

• Master's or Doctoral degree in Computer Science, Informatics, Health Care, Social Sciences, or other related field.
• Knowledge of statistics and experience with statistical software.

Benefits

• Retirement plan through Teacher Retirement System of Texas (TRS).