Embed with computational biology and disease biology teams in your assigned therapeutic area to develop deep understanding of their workflows, data, tools, and bottlenecks. Translate use-cases into concrete, testable prototypes with clear success criteria. Rapidly turn ideas into a working demo, complete with evaluation benchmarks that tighten acceptance criteria over time. Design and ship production systems quickly that solve specific scientific problems; owning integrations, data provenance, reliability, and on-call readiness. Apply LLM, retrieval-augmented generation (RAG), text-to-SQL, agentic AI frameworks, and other emerging approaches to drug discovery challenges including target identification, biomarker prioritization, mechanism of action studies, and extraction of insight from large-scale multi-omics datasets. Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks; use results to drive model selection, product changes, a...Engineer, AI, Lead, Intelligence, Data Science, Computer Science, Technology