Design and build core data infrastructure (ingestion, normalization, storage, indexing); ship full-stack features (Python backend, TypeScript/Next.js frontend); create queryable schemas for heterogeneous lab data; collaborate with scientists to translate domain problems into software; own reliability and tradeoffs.