• Build and maintain data-driven React applications using a python backend, embedded BI solutions (Sigma), and AI-enabled services as appropriate • Develop web interfaces and tools that consume and display data from the enterprise data warehouse and AI-backed APIs • Implement and integrate BI tools, embedded analytics, and AI-assisted workflows (e.g., natural language querying, summarization, recommendations) • Integrate with AI platforms, SDKs, and Model Context Protocol (MCP) servers to incorporate LLM-backed functionality into applications in a secure and reliable manner • Work with structured and semi-structured data to deliver performant, reliable data and AI-driven solutions • Build data models in a Snowflake data warehouse as needed • Partner with Data Engineering and Product teams to support workflows across commercial data applications, clinical operations, lab logistics, commercial analytics, and AI-enabled use cases • Apply best practices in code quality, testing, performance optimization, secure design, and responsible AI usage • Contribute ideas to improve usability, scalability, and maintainability of internal applications, including human-in-the-loop AI interactions • Collaborate effectively in a cross-functional, remote-first environment • Use infrastructure-as-code (Terraform) to provision and manage cloud environments, including AI-related services • Develop and deploy applications within containerized environments (Docker, Kubernetes), including services supporting AI inference and orchestration