Analytics Developer

University of Southern California•San Diego, CA

1d•Hybrid

About The Position

The Analytics Developer is a data-driven role at the USC Keck School of Medicine’s Alzheimer Therapeutic Research Institute (ATRI), an academic institute in San Diego focused on advancing diagnostics and therapeutics for Alzheimer’s disease through clinical studies. The role works collaboratively with study teams and cross-functional colleagues to support clinical trial databases, analytics, reporting, and monitoring. The position requires regular on-site presence at ATRI in San Diego at least three days per week. The successful candidate will have experience in clinical trials and a good understanding of databases and report development. The role includes developing and validating programs, reports, and dashboards; supporting data quality and clinical trial monitoring; and maintaining auditable documentation. AI tools such as Claude may be used to support programming and related workflows, with all AI-assisted work reviewed and validated in accordance with institutional quality, privacy, and security requirements.

Requirements

Bachelor’s degree in a quantitative or natural sciences field, with training in R or another statistical programming language.
At least 2 years of hands-on experience in data management, statistical analysis, or statistical software such as R.
Sound knowledge of programming and documentation procedures, programming methods, program flow charts, and operator instructions.
Knowledge of one or more appropriate computer languages.
Familiarity with AI tools such as Claude for programming, documentation, or data workflows, and understanding of responsible use in a regulated environment.
Ability to work on-site at ATRI in San Diego at least three days per week.

Nice To Haves

Experience in a regulated industry or academia.
Knowledge of visualization tools such as RStudio, R Shiny, Tableau, and Spotfire.
Experience with development environments such as Positron and RStudio.
Familiarity with GitHub, relational databases, R, Python, Pandas, Jira, Confluence, and APIs.
Preferred experience: 3 years.
Preferred education: Bachelor’s degree.

Responsibilities

Collaborate with data managers and developers on scripting, designing, testing, and implementing study databases based on data-management and protocol needs.
Create, troubleshoot, and update programs that support technical solutions for analyzing and reporting clinical data.
Use AI tools to assist with code development, debugging, refactoring, testing, and documentation; review and validate AI-assisted work for compliance with quality standards and data privacy and security policies.
Develop progress and custom reports to help study teams meet timelines and quality expectations.
Design and build dashboards and analytics content for clinical trial monitoring.
Perform quality control on programs and study documents, including reports and specifications.
Maintain complete, auditable documentation of programming activities, including use of AI-assisted tools.
Participate in User Acceptance Testing and validation activities.
Review eCRFs, edit check specifications, Advanced Quality Checks, Post-Entry Checks, and Post-Save Functions.
Define data-review requirements and processes to support high-quality data and analyses.
Review outputs across R and Python programs to ensure consistency.
Develop report specifications and scripts, and test and document global R and Python utility programs and tools according to standards and validation procedures.
Identify opportunities to use AI tools and automation to improve efficiency, data quality, and team workflows.
Help develop and maintain departmental procedures and standards, including guidelines for responsible AI-tool use.
Work with cross-functional groups, study teams, and vendors to develop reports and improve clinical trial monitoring.
Perform other duties as directed by department leadership.