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 data managers, developers, study teams, and other cross-functional partners 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 with clinical trials and a good understanding of databases and report development. The role develops and maintains programs, reports, dashboards, and analytics content; supports quality control, testing, validation, and documentation; and uses AI-assisted tools where appropriate while ensuring that work is reviewed, validated, and compliant with quality and privacy standards.

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.
At least 2 years of experience in clinical trials at a pharmaceutical, biotechnology, or academic clinical research institute.
Knowledge of visualization tools such as RStudio, R Shiny, Tableau, and Spotfire.
Experience with development environments such as Positron and RStudio.
Familiarity with AI tools such as Claude for programming, documentation, or data workflows, and understanding of responsible use in a regulated environment.
Sound knowledge of programming and documentation procedures, programming methods, program flow charts, and operator instructions.
Knowledge of one or more appropriate computer languages.

Nice To Haves

Experience in a regulated industry or academia.
Experience with GitHub, relational databases, R, Python, Pandas, Jira, Confluence, and APIs.
Preferred experience: 3 years.

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 such as Claude to assist with code development, debugging, refactoring, testing, and documentation, and review and validate AI-assisted work for compliance with quality, privacy, and security standards.
Develop progress and custom reports to help study teams meet timelines and quality expectations.
Design and build dashboards and analytics content to support 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 from R and Python programs to ensure consistency.
Develop report specifications and scripts; test and document global R and Python utility programs and tools according to standards and validation procedures.
Identify opportunities to apply 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.