Data Science Intern
About The Position
The Global Access, Value and Economics (GAVE) organization at Intuitive seeks a motivated Data Science Intern for Summer 2027. The intern will support the organization's mission to generate clinical evidence for adoption of robotic-assisted surgery by working within the Global Access and Evidence Management Center of Excellence. The role focuses on developing a system to optimize evidence management and synthesis, including a tool to identify, deduplicate, validate, and ingest publications related to Intuitive products. The intern will also help integrate existing large language model pipelines into the solution, gaining hands-on experience with software development, data management, machine learning, and systems design. Effective communication with cross-functional stakeholders is an important part of the internship. The internship is a fixed-term university program. Interns must be currently enrolled in and returning to an accredited degree-seeking program after the internship, and available to work full-time, approximately 40 hours per week, for 10–12 weeks starting in May or June. The internship will be remote or hybrid, with on-site meetings at least three times during the internship. The specific start date is provided during recruiting.
Requirements
- Currently enrolled in and returning to an accredited degree-seeking academic program after the internship.
- Available to work full-time, approximately 40 hours per week, for a 10–12 week period starting in May or June.
- Currently enrolled in a bachelor's- or master's-level Computer Science, Data Science, Computer Engineering, or related degree-seeking program.
- Self-motivated, with a strong interest in data science and machine learning.
- Able to collaborate effectively with cross-functional teams and address multiple stakeholders' needs.
- Excellent communication and technical skills for engaging effectively with varied audiences.
- Self-driven problem solver able to work with minimal supervision.
- Strong desire to learn and grow in data science and machine learning.
- Proficiency in Python.
- Strong understanding of relational databases and SQL.
- Solid grasp of machine learning concepts and algorithms.
- Understanding of systems thinking and system design principles.
Nice To Haves
- Experience with LLM APIs such as OpenAI, Anthropic, or Azure OpenAI, including prompt engineering and structured outputs.
- Experience with Agentic AI workflows.
- Experience building ETL or data ingestion pipelines for Snowflake.
- Experience with NLP techniques such as vector embeddings and semantic similarity.
- Familiarity with R.
- Experience with scikit-learn.
- Familiarity with statistical methods, systematic literature reviews, and meta-analysis.
Responsibilities
- Design an end-to-end data pipeline to optimize evidence management, synthesis, and generation processes.
- Implement and automate publication search and deduplication strategies.
- Assist in integrating additional large language model workflows into the system.
- Collaborate with cross-functional stakeholders to develop the solution.
- Present and interpret findings to a broad range of teams across the organization.
Benefits
- Benefits and a housing allowance are included in the compensation package.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
