Intern, Statistical Programming

Overview\n\nThe AI \u0026 Automation Intern will support the Statistical Programming department in exploring and implementing innovative artificial intelligence (AI) and machine learning (ML) solutions to enhance workflow efficiency, reduce manual effort, and streamline programming processes. The intern will work closely with statistical programmers to understand data requirements, identify opportunities for automation, and develop proof-of-concept tools or pilot projects that demonstrate the potential of AI-driven solutions within clinical trial programming.\n\nThis role provides hands-on experience in applying AI/ML techniques to statistical programming challenges, including data processing, analysis, and reporting. The intern will gain exposure to industry standards, workflow optimization, and best practices for integrating AI solutions into existing programming processes. Additionally, the intern will support documentation, testing, and training efforts to ensure successful adoption of AI tools within the department.\n\n \n\nLearning Outcomes\n\n 1. AI/ML Application in Statistical Programming \nGain hands-on experience applying artificial intelligence and machine learning techniques to automate and optimize statistical programming workflows, including data processing, analysis, and reporting tasks.\n 2. Understanding Clinical Data Standards and Workflows \nLearn about clinical trial data standards (CDISC, SDTM, ADaM) and the end-to-end statistical programming process, developing the ability to identify areas for efficiency improvement and practical AI integration.\n 3. Tool Development and Workflow Optimization \nBuild skills in developing proof-of-concept tools, automating routine tasks, and enhancing workflow efficiency, while documenting processes, testing solutions, and supporting adoption within a professional statistical programming environment.\n\n\n\n \n\nQualifications\n\n \n\n * Currently pursuing or recently completed a Bachelor\u2019s or Master\u2019s degree in Computer Science, Data Science, or a relevant scientific field.\n * Understanding of AI/ML concepts (e.g., machine learning models, predictive analytics, automation). \n * Experience in data engineering, data architecture, automation, or artificial intelligence (AI); familiarity with clinical or healthcare data is preferred.\n * At least 18 years of age prior to scheduled start date \n * Legal authorization to work in the U.S. \n\n\n\nU.S. Pay Range\n\n$25-$35/hr\n