Informatics Programmer Analyst

Role Description

The programmer analyst role includes the interpretation of complex requirements from detailed specifications to identify the correct fields for data extraction, applying analytical techniques for validation and cleaning, and preparation of data for in-depth analysis. This involves:

• Selecting appropriate patient cohorts
• Applying sophisticated programming strategies to configure data to researchers’ specifications
• Confirming value meets researchers’ expectations

The focus is on effectively managing and interpreting large volumes of data to derive meaningful insights. The programmer analyst will play a pivotal role in supporting researchers and Principal Investigators by employing analytical tools such as:

• Python
• SQL
• SAS
• R
• Stata

The ultimate aim is to provide a robust analytical foundation that supports research projects.

Key responsibilities include:

• Meticulous organization and curation of data sets
• Executing sophisticated statistical analyses
• Producing detailed reports, charts, tables, and figures that clearly convey the findings

The role might involve working closely with PhD Statisticians to apply complex statistical analysis to support the interpretation of results. The programmer analyst will work closely with the lead investigators to refine data analysis based on feedback and ensure that the results are presented in a form that is ready for publication and dissemination.

Department Overview

The University of California, San Francisco (UCSF) Department of Information Technology Academic Research Services (ARS) is chartered to provide data services and infrastructure that support clinical researchers' computing and analytic needs. The Clinical Data Research Consultants group’s services include:

• Administration of Data Use Agreements for the reuse of CMS and Medicaid data
• Customized data extractions from UCSF health systems
• A federated data steward program to support compliance and set best practice standards for analysts who access health system data outside of central IT