Data Engineering Intern at RA Capital Management in Boston, MA

Summary: RA Capital is a leading provider of capital and services to innovators in the healthcare sector, now expanding into Planetary Health. The Data Engineering Intern will explore how AI can transform access to healthcare data, focusing on prototyping and evaluating LLM-driven approaches to enhance data querying and analysis. Responsibilities: - Prototype and evaluate LLM-based approaches for querying and analyzing healthcare data - Conduct experiments to assess accuracy, robustness, and limitations of AI-driven data access - Work with structured datasets (e.g., claims, provider data) to understand data characteristics and challenges - Translate research and investment questions into data and AI experiments - Collaborate with engineers and researchers to iterate on AI-driven data access patterns - Analyze experimental results and communicate findings, trade-offs, and recommendations - Stay current with advancements in LLMs, AI agents, and data access frameworks Required Qualifications: - Currently pursuing a Master's or PhD in Computer Science, Data Science, AI, or a related field - Research experience (academic or industry) in AI, ML, or data-related areas is a strong plus - Excellent English communication skills for collaboration with team members and stakeholders - Must be authorized to work in the United States for the duration of the internship - Must be able to work out of our Boston office this summer - Ability to join us on June 1st and commit full-time for 10-12 weeks Preferred Qualifications: - Strong interest in applied AI, LLMs, and data-driven research - Experience with Python for experimentation, data analysis, or prototyping - Familiarity with SQL and structured data concepts - Exposure to machine learning, NLP, or LLM-related projects is a plus - Ability to think critically about model behavior, evaluation, and limitations - Strong problem-solving abilities and investigative mindset - Ability to work in a collaborative, mentorship-driven environment Required Skills: Applied AI, Large Language Models (LLMs), Python, SQL, Structured data concepts, Machine learning, Natural Language Processing (NLP), Data analysis, Research experience in AI, ML Benefits: Exposure to real-world projects and hands-on work, Mentorship from experienced professionals, Opportunities for professional development within a collaborative team environment, RA sponsored lunch on designated days, Access to RA-sponsored events, speaker series, and social activities, Participation in wellness and community-focused initiatives