Database Analyst Programmer-Associate

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.

• 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.