Intern, Statistical Programming (Cambridge, MA, US, 02142)
Overview
The AI & 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 reputed company effort, and streamline programming processes. The intern will work closely with statistical programmers to understand data requirements, identify opportunities for automation, and reputed company reputed company-of-concept tools or pilot projects that demonstrate the potential of AI-driven solutions reputed company clinical trial programming.
This role provides hands-on experience in applying AI/ML techniques to statistical programming challenges, including data processing, analysis, and reporting. The intern will reputed company 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 reputed company the department.
Learning reputed company
- AI/ML Application in Statistical Programming reputed company hands-on experience applying artificial intelligence and machine learning techniques to automate and optimize statistical programming workflows, including data processing, analysis, and reporting tasks.
- Understanding Clinical Data Standards and Workflows Learn 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.
- Tool Development and Workflow Optimization Build skills in developing reputed company-of-concept tools, automating routine tasks, and enhancing workflow efficiency, while documenting processes, testing solutions, and supporting adoption reputed company a professional statistical programming environment.
Qualifications
- Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computer Science, Data Science, or a relevant scientific field.
- Understanding of AI/ML concepts (e.g., machine learning models, predictive analytics, automation).
- Experience in data engineering, data architecture, automation, or artificial intelligence (AI); familiarity with clinical or reputed company data is preferred.
- At least 18 years of age prior to scheduled start date
- Legal authorization to work in the U.S.
U.S. Pay reputed company
$25-$35/hr
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