Data Architect

Job Details

General Notes

The Department of Women's Health at the Dell Medical School is looking for a Data Architect.

Limited to 2 years from start date.

Purpose

The data architect will extract data from multiple existing electronic health records systems, merging data across systems to develop a clinical research database.

This person will also provide technical guidance and analytic support for current and future clinical research projects.

Responsibilities

Work with personnel from the University of Texas Dell Medical School, Ascension Seton Medical Center and Community Care to develop the necessary data infrastructure and application systems to support the 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 liaison between the clinical team and the informatics and technology teams at Ascension Seton. Ability to guide the team on best practices for infrastructure design.

Assist the team to organize, query and visualize 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.

Other related duties as assigned.

Required Qualifications

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, should include : data architecture, the development of and management of performance quality indicators, database development (Python, SQL and no-SQL).

System level knowledge of programming, OS operations, database query, and data mining experience. System level knowledge of server, applications, workstation, image modalities, and client-server networking.

Experience with RedCAP. Experience with clinical registries, health care projects, data analytics, creating quality and outcome reports and data visualization.

Strong organizational, communication, and interpersonal skills. Ability to work as part of a multidisciplinary team.

Preferred Qualifications

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.

Salary Range

OPEN

Working Conditions

Repetitive use of a keyboard at a workstation.

Required Materials

Resume / CV

3 work references with their contact information; at least one reference should be from a supervisor

Letter of interest

Important for applicants who are NOT current university employees or contingent workers : You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications.

Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section;

you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded.

Once your job application has been submitted, you cannot make changes.

Important for Current university employees and contingent workers : As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs.

If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply.

This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume.

In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.

that were noted above.

Employment Eligibility :

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers.

Staff who are promotion / transfer eligible may apply for positions without supervisor approval.

Retirement Plan Eligibility :

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.

Background Checks :

A criminal history background check will be required for finalist(s) under consideration for this position.