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Salary: USD 120,000 - 180,000 / annual
RA Capital Management is a leading investment firm with $10B+ under management, backing bold ideas in healthcare and planetary health. The Data Engineering team builds enterprise data platforms that power research, investment, and operational workflows across the firm.
You will join a team developing AI-native data access patterns and LLM-powered interfaces for complex healthcare datasets. This role sits at the intersection of healthcare data, large-scale data engineering, and applied AI, with emphasis on reliability, compliance, and production readiness.
Key responsibilities include:
- Design and maintain scalable, production-grade data pipelines for healthcare datasets (claims, provider data)
- Build and optimize data models for analytical and AI-driven workloads
- Develop Python and SQL code for data standardization, reconciliation, validation, and application workflows
- Build AI-powered data applications and agentic workflows connecting LLMs with enterprise data and internal tools
- Create AI-native data access frameworks using LLM-to-SQL and LLM-to-GraphQL patterns
- Build backend services, APIs, and reusable software components
- Develop evaluation and testing frameworks for LLM-powered and agentic workflows
- Write automated tests and contribute to CI/CD, deployment, and production support
- Collaborate with AI/ML engineers, healthcare data vendors, and stakeholders
- Implement monitoring, observability, and governance for data pipelines and AI workflows
- Document data architectures and production systems
Requirements:
- Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, or related technical field (Master's preferred); or equivalent practical experience
- Up to three years of experience in software engineering, data engineering, or related role
- Strong software engineering fundamentals and interest in building production systems
- Strong foundation in data engineering and data modeling
- Proficiency in Python and SQL; experience with Spark and Databricks preferred
- Experience building or integrating APIs, services, or workflow-oriented applications
- Hands-on experience with, or strong interest in, LLM-powered applications, AI agents, or agentic workflows
- Familiarity with LLM tool use, structured outputs, orchestration patterns, GraphQL, or API-based data access methods
- Experience with healthcare or regulated datasets is a plus
- Strong communication, ownership, and collaboration skills
- Must be based in Boston area and available for hybrid schedule from Boston office
- Must be authorized to work in the United States without sponsorship
