2026 Intern - Technical Specialist

Roche is dedicated to advancing science and ensuring access to healthcare for all. The Technical Specialist Intern role focuses on shaping and delivering tools and digital capabilities for efficient clinical data management, collaborating with IT and cross-functional teams to enhance data platforms and processes.

Responsibilities

• Support day-to-day activities related to tool usage / updates, standards management, or documentation updates
• Assist with testing, user feedback collection, and training material preparation
• Troubleshoot user-reported issues and escalate as appropriate
• Contribute to process documentation and knowledge-sharing repositories
• Seeks opportunities to learn and tries new approaches to build expertise
• Contribute by expressing ideas and communicating effectively
• Work under general supervision and apply independent judgment to interpret guidance, prioritize responsibilities, and make decisions in situations that require contextual understanding
• Apply independent judgment to solve moderately complex data issue, interpret guidance, prioritize responsibilities, and seeking guidance in situations that require contextual understanding
• Adheres to functional standards, participating in peer review or mentoring relationships to uphold quality while building expertise in data management methodology

Skills

• You are currently pursuing a Masters in Biotechnology (preferred in the Digital Health and Technology stream)
• Provide day-to-day support for tool updates, documentation management, and the maintenance of functional standards and knowledge-sharing repositories
• Assist with system testing, collect user feedback, and resolve or escalate technical issues while preparing comprehensive training materials
• Apply independent judgment to resolve moderately complex data issues and participate in peer reviews to ensure high-quality data management methodology
• Work under general supervision to prioritize responsibilities and make context-specific decisions, ensuring all tasks align with established guidance
• Actively contribute new ideas and effective communication within the team while seeking mentorship and learning opportunities to build technical expertise
• Foundational knowledge of clinical trial data types (labs, imaging, eCOA) and familiarity with industry standards like CDISC/SDTM and platforms such as Medidata RAVE
• Practical experience in Natural Language Processing (NLP), Machine Learning, and LLMs, with a specialized interest in developing Agentic AI solutions
• Proficiency in data modeling and warehousing (e.g., Snowflake), pipeline orchestration (e.g., Airflow), and version control via GitLab within cloud environments
• Ability to translate complex user needs into tangible UX/UI solutions, supported by strong technical documentation skills in tools like Confluence or SharePoint

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