Analytics Developer
About The Position
The Analytics Developer is a data-driven role at the USC Keck School of Medicine’s Alzheimer Therapeutic Research Institute (ATRI) in San Diego. ATRI is an academic institute 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 successful candidate will support clinical trial database and reporting development, data analysis, monitoring, and quality processes. The position requires regular on-site presence at ATRI in San Diego at least three days per week. The posting describes a $45.10–$59.33 hourly rate range. USC considers factors including responsibilities, experience, education, skills, equity, funding, and market considerations when extending 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.
- Regular on-site presence at ATRI in San Diego at least three days per week.
Nice To Haves
- Experience in a regulated industry or academia.
- Familiarity with GitHub, relational databases, R, Python, Pandas, Jira, Confluence, and APIs (listed as preferred tools).
- Three years of experience (preferred experience listed in the posting).
Responsibilities
- Collaborate with data managers and developers to script, design, test, and implement study databases based on data management and protocol needs.
- Create, troubleshoot, and update programs supporting technical solutions for analyzing and reporting clinical data.
- Use AI tools such as Claude to assist with code development, debugging, refactoring, testing, and documentation; review and validate AI-assisted work and ensure compliance with quality, privacy, and security policies.
- Develop progress and custom reports that 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 ensure data quality and reliable analyses.
- Review outputs from R and Python programs for 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 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.
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What This Job Offers
Job Type
Full-time
