Vertex Summer Intern 2026, Statistical… at Vertex · Boston

Summary: Vertex is a global biotechnology company dedicated to tackling serious diseases and changing lives for the better. They are seeking a Summer Intern for 2026 in Statistical Programming to contribute to the development of an LLM-based agent aimed at enhancing automation in clinical Table, Figure, and Listing generation workflows. Responsibilities: - Parsing Clinical TFL Shell Documents: Extracting structured specifications such as titles, population definitions, variables, footnotes, and programming notes from RTF/DOCX files - Extracting Structured Specifications: Transforming unstructured text into structured formats for downstream processing - Interpreting User Prompts: Understanding and processing user inputs to guide the automation workflow - Mapping Specifications to R Function/SAS Macros Libraries: Matching extracted specifications to appropriate R functions/SAS Macros within an existing library - Triggering TFL Generation Workflows: Automating the execution of TFL generation workflows - Shell-to-Function Matching Agent: Clinical TFL shell text and user prompts - Structured function calls to the R library - Generate JSON mappings for table types, population definitions, variables, and grouping - Develop mechanisms to ensure LLM outputs align with predefined function signatures and constraints - Enhance prompt engineering to improve reliability and minimize hallucinations in LLM outputs - Seamlessly integrate the LLM agent with the existing automation system to enable TFL generation workflows Required Qualifications: - Enrolled in or have completed a Master's or Doctoral degree in Statistics, Biostatistics, Data Science, Computer Science, Applied Mathematics, Biomedical Engineering, or another related field - Coursework completed in Machine Learning, Statistical Computing, Linear Algebra, Probability, Data Structures and Algorithms - Have experience building at least one end-to-end LLM application - Possess a strong understanding of statistical reporting workflows - Be comfortable debugging ambiguous LLM behavior and improving model reliability - Show a keen interest in applying AI to clinical analytics and statistical programming - Legal authorization to work in the United States, now and in the future. Please note that Vertex does not provide sponsorship for internships or entry level roles within this part of the organization - You must be enrolled in an advanced degree program if graduating before August 2026 - You must be available to work full-time, 40 hours per week from May – August 2026 - Proficiency in Python (primary language for LLM development) - Working knowledge of R/SAS for statistical programming (plus) - Experience in integrating Python and R using tools such as: reticulate, Subprocess calls, API-based communication - Familiarity with Git and version control systems - Proven ability to write modular, testable, and production-ready code (beyond Jupyter notebooks) - Hands-on experience with at least one of the following frameworks or tools: OpenAI API (including function calling and tool calling), Azure OpenAI, LangChain, LlamaIndex, Semantic Kernel, Autogen, CrewAI, Haystack - Prompt engineering (e.g., few-shot prompting, system vs. user prompts) - Structured output generation (e.g., JSON schema enforcement) - Tool calling and function calling - Multi-step reasoning chains and agent workflows - Context window management for LLMs - Output validation to ensure accuracy and reliability - Experience in building RAG systems, including: Document chunking strategies for efficient processing, Embedding generation for semantic search, Vector similarity search and top-k retrieval - Familiarity with at least one of the following vector databases: FAISS, Pinecone, Milvus, Chroma, Weaviate - Experience in parsing and extracting structured data from technical documents, including: RTF and DOCX formats, Structured reports and TFL shell documents - Proficiency with Python libraries such as: python-docx, striprtf, docx2txt, Regular expressions for rule-based parsing - Experience in integrating APIs and tools, including: REST APIs and JSON schema validation, Frameworks such as FastAPI or Flask (preferred), Logging, error handling, and debugging, Configuration-driven workflows for scalable systems Required Skills: Python, LLM Engineering, R/SAS Important Skills: API Integration, Structured Parsing Nice-to-Have Skills: Collaboration, Problem Solving, Attention to Detail Internship Start Date: Start in 2026 Summer Benefits: Free 24/7 onsite gym access and free access to group exercise classes, Subsidized commuter benefits- transit and parking, Provided meals—free breakfast daily!, Career development opportunities and events, including C Suite engagement, Social events—both intern-only and company-wide, Location-specific perks and extras!, Recognition of National Intern Day