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上海市, 中国
Onsite
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
AI & Data Science Intern
We're seeking a motivated AI & Data Science Intern to join our dynamic team. In this role, you will collaborate with data scientists, AI engineers, clinical experts, and cross-functional teams, contributing to exciting projects that leverage generative AI and advanced analytics to optimize Roche's digital healthcare solutions. This is an excellent opportunity to bridge the gap between cutting-edge AI research and real-world healthcare innovation.
Key Responsibilities
As an AI & Data Science Intern, your key duties will include:
GenAI Prototype Development: Support the design and building of Generative AI prototypes, focusing on Retrieval-Augmented Generation (RAG) and Vectorization to enhance data retrieval and response accuracy.
Prompt & Context Engineering: Experiment with and refine prompt engineering and contextual orchestration techniques to optimize LLM performance for laboratory, clinical and to-Consumer use cases.
Agentic AI Exploration: Assist in developing and testing Agentic AI frameworks that can autonomously execute workflows and reason through complex healthcare data tasks.
Data Pipeline Construction: Build and maintain scalable data pipelines to preprocess, clean, and ingest diverse datasets into vector databases and analytical models.
Visualization & Insights: Transform complex model outputs into actionable insights using data visualization tools, helping stakeholders understand AI-driven trends and performance.
Operational AI Improvements: Suggest and implement processes to improve the efficiency of the AI lifecycle (MLOps), offering innovative ideas that align with the team's technical objectives.
What We're Looking For
Education: Currently enrolled in or recently completed a degree in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
Technical Skills: * Proficiency in Python and familiarity with AI frameworks (e.g., LangChain).
Foundational understanding of Vector Databases (e.g., Pinecone, Milvus) and embedding techniques.
Experience with data visualization tools (Tableau, Power BI, or Matplotlib/Seaborn).
Knowledge of SQL and building basic data integration pipelines.
Analytical Mindset: Strong problem-solving skills with a focus on how AI can solve specific business and clinical challenges.
Team Player: Collaborative mindset with the ability to communicate technical concepts to non-technical cross-functional teams.
Growth-Oriented: Enthusiastic about staying at the forefront of the rapidly evolving Generative AI landscape.
What's In It for You?
Hands-on AI Experience: Work on high-impact projects in the rapidly growing field of GenAI in healthcare.
Cutting-Edge Tech: Exposure to the latest LLMs, agentic frameworks, and vector-based search architectures.
Mentorship: Direct guidance from experienced data scientists and AI leads within a global, industry-leading company.
Innovation at Scale: See your prototypes contribute to digital solutions that improve patient outcomes worldwide.
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Roche is an Equal Opportunity Employer.