The Database Analyst Programmer-Associate will support data-driven clinical research at the Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases. Working with cross-site research and operational teams, this role will help translate study needs into reliable data systems, standardized data collection processes, quality-control tools, and meaningful reports. The incumbent will contribute to integrating and analyzing research data that help study teams monitor recruitment, retention, participant populations, and overall progress toward study goals.
Responsibilities- Assists in the design, implementation, and maintenance of new and existing databases in a server environment.
- Designs, writes, tests, and debugs database stored procedures and simple queries to extract, calculate or manipulate information.
- Assists in creating database mappings to transform data from multiple systems developing and maintaining integrations between database systems.
- Works with departments to understand data collection, storage, and reporting needs for new systems.
- Assists cross-site research and operational stakeholders with defining business and data requirements, translating operational needs into standardized data models, validation logic, and quality-control processes.
- Builds and maintains reports and dashboards using data from multiple research sources; assists with querying, integrating, and validating datasets and tracking key study metrics, including recruitment, retention, attrition, and participant population characteristics.
- Performs all other duties as assigned.
- Fundamental knowledge in common database operations.
- Proficiency with Microsoft Excel along with a solid understanding of charts and pivot tables, macros and data functions.
- Proficiency in relevant database software and tools.
- Strong analytical skills to resolve complex issues.
- Strong verbal, written and interpersonal communication skills.
Education:
- Bachelors degree in a computer Science or related field.
Experience:
- None required.
Preferred - Technical Skills;
- Analytics & Business Intelligence: Power BI, Tableau, SQL, Python, Excel.
- Data & Modeling: PostgreSQL, data modeling, ETL/ELT, Databricks.
- Systems & Development: REDCap, Airflow, Git/GitHub, API integration, Docker, Flask.
Benefits Overview
- Front-loaded Paid Time Off: 128 to 208 hours (16 to 26 days) of Paid Time Off based on years of service, given at the start of each fiscal year. PTO may be prorated in year one based on date of hire.
- Extended Illness Bank: 8 hours (1 day) accrued per month which can be used for illness or injury after one day of Paid Time Off is taken.
- Paid Family Leave: Up to 240 hours (6 weeks) to care for a spouse, child, or parent after 6 months of consecutive employment.
- Holidays: 12 set paid holidays each year.
Skills Required
- Bachelor’s degree in Computer Science or a related field
- Fundamental knowledge of common database operations
- Proficiency with Microsoft Excel, including charts, pivot tables, macros, and data functions
- Proficiency with relevant database software and tools
- Strong analytical skills
- Strong verbal, written, and interpersonal communication skills
What We Do
UT Health San Antonio™, one of the country’s leading health sciences universities, is the leader in south/central Texas funding for the National Institutes of Health (NIH). The university’s schools of medicine, nursing, dentistry, health professions and graduate biomedical sciences have produced more than 33,000 alumni. The $806.6 million operating budget supports four campuses in San Antonio and Laredo, and is the primary driver of its community’s $37 billion biomedical and health care industry. For more information on the many ways “We make lives better®,” visit uthealthsa.org.





