Analytics Developer

University of Southern California•San Diego, CA

1d•$45 - $59•Hybrid

About The Position

The USC Keck School of Medicine Alzheimer Therapeutic Research Institute (ATRI) is an academic institute in San Diego whose scientific collaborators advance the development of diagnostics and therapeutics for Alzheimer’s disease through clinical studies. Study teams work collaboratively with scientists, faculty, biostatisticians, data managers, project managers, regulatory staff, system developers, and industry partners. The Analytics Developer is a data-driven role that supports clinical study databases, clinical data analysis and reporting, and trial monitoring. The role collaborates with data managers and developers to design, script, test, implement, and document data and reporting solutions. It also uses AI tools to support development and workflow improvements, with all AI-assisted work subject to review, validation, and institutional quality, privacy, and security requirements. The position requires regular onsite presence at ATRI in San Diego at least three days per week. The hourly rate range is $45.10–$59.33. USC considers factors including position scope, experience, education, skills, peer equity, applicable laws, funding, and market considerations when making an offer.

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.
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.

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 support code development, debugging, refactoring, testing, and documentation, and review and validate AI-assisted work for compliance with institutional 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 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 for consistency.
Develop report specifications and scripts, and test and document global R and Python utility programs and tools in accordance with 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 responsible-use guidelines for AI tools.
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.